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Invited Talk: Last updated on 14 July 2018
Prof. U Dinesh Kumar Professor Dinesh Kumar is a professor of Decision Science at the Indian Institute of Management Bangalore.Recognized as one of the Top 10 Most Prominent Analytic Academicians in India. U Dinesh Kumar’ research interest includes Business Analytics and Big Data, Machine Learning, Deep Learning Algorithms, Stochastic models (Reinforcement Learning Algorithms), Reliability and Software Reliability, Optimization, Multi Criteria Decision Making, Six Sigma, Maintainability and Maintenance, Integrated Logistic Support and Performance Based Logistics. He has published several research articles in reputed academic journals such as European Journal of Operational Research, Annals of Operations Research, International Journal of Production Economics, The Journal of Operational Research Society, Computers and Operations Research, IEEE Transactions on Reliability, International Journal of Reliability, Quality and Safety Engineering and so on. He has published more than twenty case studies on Business Analytics and Machine Learning Algorithms based on Indian and multinational organizations such as Aavin Milk Dairy, Apollo Hospitals, Bigbasket, Bollywood, Flipkart.com, Hewlett and Packard, Larsen & Toubro, Mission Hospital, Hindustan Aeronautics Limited, Indian Premier League, Shubham Housing Development Finance Company and VMWare at the Harvard Business Publishing’s case portal, and authored more than 70 research articles and 2 books. Topic Title : Machine Learning Applications 
Shailaja Grover Over 17 years of experience in the Information Technology with expertise in software development, statistical techniques, quality assurance methodologies and conducting trainings and workshops. Completed Business Analytics and Intelligence course with IIM, Bangalore which covers topics in Core Business Statistics including predictive modeling, stochastic modeling and optimization. Currently working as Research Associate in Data Center and Analytics Lab in IIM Bangalore. Worked on projects in food processing industry, social media analytics, Healthcare analytics and assessment framework for an NGO. Co- authored two papers in healthcare analytics and retail analytics published in Harvard Business Review. Designed and conducted trainings, workshops and certification programs mainly in project management and usage of quantitative methods in software project management and also on six sigma methodologies, lean concepts, basic statistics and predictive analytics. Key work areas : Training and workshops – mainly in the area of project management, usage of quantitative methods in software project management, six sigma, lean methodologies, statistics and predictive analytics. Design and development of training material for various trainings like quantitative methodologies, six sigma etc. Data Analysis - Analysis of key metrics & KPIs for projects using applicable statistical techniques. Experience in working with developing managed services models and implementing outcome based engagements with various large enterprises. Identifying and driving improvement programs through various statistical tools and methods, Kaizen, lean and six sigma methodologies. Topic Title : Analytics in Agriculture 
Mr. Manaranjan Pradhan Manaranjan Pradhan has about 16+ years of industry experience working on Cloud computing, Big Data, Data Science & Machine Learning. He has worked with TCS, HP, and iGATE and worked on large scale projects for customers like Motorola, Home Depot, CKWB Bank, P&G in the roles of solution and technical architect. He is a freelance who provides consulting and training on Cloud Computing, Big data & Data Science including Machine Learning. He has been teaching Big Data and Machine Learning for 3 years and has trained more than 500 people from several large MNCs including EMC, CISCO, HP, YODLEE, YAHOO, SAMSUNG, VeriSign, Success Factors & Goldman Sachs etc. He is also a guest lecture on Big Data and Machine Learning at IIM Bangalore. He is an alumni of Indian Institute of Management (IIM), Bangalore and has completed certification on Business Analytics and Intelligence program. He has data science and scalable machine learning certifications from Coursera and edx.org. He had published an Analytics Case in Harvard Business Publishing : https://cb.hbsp.harvard.edu/cbmp/product/IMB573-PDF-ENG Topic Title : Deep Learning 
Anshul Garg Anshul Garg has 5 years of experience in Artificial Intelligence with expertise in Deep Learning and Computer Vision. He has done quality work in Software development and Big data technologies like Storm and Kafka. He has authored/co-authored 10 patents and a research paper in an international journal in the area of Computer vision and Machine learning. Anshul's research interests include Convolutional Neural Networks, Image Processing, Business Analytics, Machine Learning Algorithms, Geospatial Analytics, Multi-Object Detection, and Classification. Currently, Anshul is working on Computer Vision based solutions in Retail and Fashion Analytics for e-commerce portals and user-generated content at Dataweave. Earlier, he has worked as a Research Engineer at Ricoh Innovations for four and half years. There he developed deep learning solutions for Object Detection and Fine-grained Object Recognition problems for real-world business use cases. Topic Title : Every Drop Counts - Unleashing the Prospective Locations for Water Harvesting using Geospatial Analytics. 
Namrata Rawat Enthusiastic Data Science Professional with 8+ years of experience in machine learning, recommendation engines, optimization & business consulting. Namrata has extensive experience in business analytics consulting and process deployment. She has designed numerous innovative advanced analytics frameworks in highly diverse fields such as Retail, Risk Management & Finance. She has crafted these data science empowered decision systems for organizations such as Walmart Labs, GE, and TESCO. She has also won the Walmart global hackathon 2016-17 which had 100+ data scientist participating from across the globe. Currently based out of Bay area, CA and looking to take up new set of challenging role in diverse environment of data science. Title Topic: Every Drop Counts - Unleashing the Prospective Locations for Water Harvesting using Geospatial Analytics. 
Sandeep Chigurupati Over 5 years of experience in solving business problems using Descriptive Analytics, Predictive Modelling and Machine Learning. Completed Business Analytics and Intelligence course from IIM-Bengaluru, which comprises topics like Descriptive Stats, Predictive Modelling, Stochastic Modelling, Machine Learning and optimization. Currently working as Senior Data Scientist at Tekfriday Processing solutions. Worked on projects related to Loan-Under-Writing, Customer Lifetime value, Store Segmentation, Customer Segmentation, Marketing channel attribution. Key Developments: Developed and intelligent and dynamic underwriting system which is based on “Xtreme Gradient Boosting” for one of the financial clients. This includes online learning of the algorithm with streaming data and also automated frequent model retrain. Identifying default and delinquent customers with the help of machine learning algorithms. Expertise in handling Class-imbalance, anomaly detection, binary/multi classification and regression problems with proficiency in Hyper-parameter tuning. Title Topic: Every Drop Counts - Unleashing the Prospective Locations for Water Harvesting using Geospatial Analytics. 
Aparana Gupta A Data Scientist. technocrat & keen learner at heart, ‘Aparana’ has 8+ years of rich & diverse professional experience with robust inter-disciplinary skills across Data Warehousing, Mining, Business Analytics, Machine Learning & Information Systems in Investment Banking domain. Other than bagging various STAR & SPOT awards during her professional tenure, she has been awarded 2 years of scholarship by SIEMENS Corporate Technology, Bangalore during her M.Tech Program at IIITB. Her interests & forte includes - Risk & Finance Analytics, Statistical Modeling, Predictive Modeling, Optimization, Unsupervised Machine Learning, Dimensional Data Modeling, Data Mining & Performance Tuning. Currently working as ‘Assistant Vice President’ at Credit Suisse she has been meticulously shouldering end to end delivery of the Data Quality & Risk Analytics Systems using Agile Framework, while also leveraging & honing the above stated concepts & technologies. Title Topic: Every Drop Counts - Unleashing the Prospective Locations for Water Harvesting using Geospatial Analytics. 
Kalaivani Thiagarajan Kalaivani is currently Sr. Executive – HR at Cognizant; working as transformation consultant on process improvements and reengineering across the HR function. Her current key roles would include Robotics Automation of the manual repetitive tasks, process revamp and elimination of unnecessary steps and thereby drive compliance & governance along with potential save for the organization. In her 9 yrs career, she has played all the various roles in the HR function starting from Employee on boarding till Separations. Kalaivani is a Lean Six Sigma Black Belt Certified professional. Currently working on AI and Machine learning initiatives for the HR portfolio and leading the HR Analytics team. Title Topic: Text and Sentiment Analysis of BREXIT and beyond. 
Vinodhini Ranganathan Vinodhini is currently a Data scientist in the medical informatics division of SJRI. Her roles include analyzing Clinical Data and developing Clinical Decision Support Systems to improve patient care using Natural Language processing, Artificial Intelligence and Image Processing techniques. Vinodhini comes with a diverse experience of 5 years in the IT sector and 3 years in the e-commerce industry. She started as a Software Engineer in the IT services Industry and worked for Sopra Steria and Tata Consultancy services. Finding interest in the booming e-commerce industry and the urge to become an entrepreneur, Vinodhini co-founded a computer electronics e-commerce platform and was the lead of Digital Marketing and Customer Analytics. Title Topic: Text and Sentiment Analysis of BREXIT and beyond. 
Guruprasad Dasappa Guruprasad is a General Manager, Products & Innovation at Accenture Operations, leading development of several solutions that leverage advanced analytics and artificial intelligence capabilities. Guru has delivered large-scale global outsourcing operations programs for several Fortune 500 companies across finance, procurement, industry-specific operations & analytics. Guruprasad is very passionate about authoring new products and services and bringing them to life - making it real. Before joining Accenture, he was Business Finance Manager at Wipro transforming its Global Procurement Organization. He started his career with Bosch, India where he focused on developing fuel injection components and also setting up purchase controlling for India business. Title Topic: Text and Sentiment Analysis of BREXIT and beyond. 
Srikanth Narasimhan Srikanth Narasimhan is a Distinguished IT Engineer at Cisco Systems. In his current role, he is responsible for architecting Cisco IT’s Autonomous Operations journey. He has 31 years of industry experience with significant expertise in enterprise architecture, distributed systems, autonomic systems, adaptive security, context-aware architecture, machine learning and cloud networking spanning telecom, banking, financial services and high tech industries. Prior to joining Cisco Systems in 2000, Srikanth was Vice-President of Engineering for eCredit, Inc., Massachusetts. Srikanth is a frequent speaker and panelist at IEEE, COMSNET, Open Group Architecture Practitioner Conferences around the world. Srikanth was CEO and co-founder of Seekyourguru.com, an online e-learning platform. His 2004 White Paper “Eight Architecture Lessons from History” published by Carnegie Mellon’s Software Engineering Institute received wide acclaim globally in IT Architecture Community. In 2015, Srikanth was recognized as “Top Chief Architect in India 2015” by John Zachman, widely known as “Father of Enterprise Architecture”. He has been a mentor to 4 startups as part of Cisco Startup Accelerator program – Launchpad. In 2016, Srikanth was chosen to be a Torchbearer at the Rio Paralympic Games in Brazil. His torch carried the message “Celebrate Talents Beyond Labels” representing the special needs people around the globe – for a “Faster, Higher and Stronger” future. Topic Title : Design Patterns for Autonomous Systems 
Dr. Jay Bharatheesh Simha Dr. Jay B. Simha as the CTO of ABIBA spearheads research, development and product & technology innovation. Dr. Simha comes with over 15 years of significant experience in R&D and business intelligence & analytics consulting. He has implemented several large-scale systems for telecom, BFSI and manufacturing industries in business intelligence and analytics. Prior to working with ABIBA, he worked with Siemens, on medical data analysis, algorithm design and data analysis. At REVA University, as an advisor and professor in Analytics and Data Science, he guides the program design and delivery of Analytics and Data Science for working professionals. He is passionate about teaching and sharing his vast knowledge ranging from Machine Learning, Deep Learning and Artificial Intelligence to the learners’ community. He holds a post-graduate degree in Mechanical and Computer Science. He also has a doctoral degree in Data Mining and Decision Support from Bangalore University. He had post-doctoral collaboration with Louisiana State University, USA. His interests lie in business visualization, predictive analytics, big data, social media analytics and decision support. Panel Discussion : Analytics Education 
Amardeep Sibia Amardeep is the CEO of SatSure. He leads overall company strategy and direction with a focus on leveraging advances in earth observation, big data, machine learning and cloud technologies for generating business-critical insights in the areas of agriculture, forestry, smart cities and infrastructure. Previously, Amardeep held leadership roles at Goldman Sachs and Earth2Orbit. Amardeep was the CTO at Earth2Orbit. He was a Vice President at Goldman Sachs, where he served for 17 years across in the US, UK and India. He lead multiple technology infrastructure teams responsible for engineering, architecture, analytics, automation and operations. In UK, he was responsible for the Goldman’s EMEA network infrastructure. He was also Goldman’s global network security architect. Amardeep is an alumnus of Indian Institute of Management, Bangalore (IIMB) and he holds a Bachelor of Technology with Honours from Thapar University, Patiala. He is a guest faculty at IIMB where he teaches analytics. He is also an advisory board member to IIMB’s Data Centre and Analytics Lab. Topic Title : Large Area Analytics 
Pulak Ghosh Pulak Ghosh is Professor in the Quantitative Methods & Information Systems Area at IIMB. His key specializations are in various fields of Quantitative Marketing, Big Data, Analytics, Bayesian Nonparametric, Health Analytics, and Econometrics. He is an accomplished researcher of international repute. Prior to joining IIMB, he served as Associate Director, Novartis Pharmaceuticals, USA, Assistant Professor, Department of Statistics, Georgia State University, and Associate Professor at Emory University, USA. He is a visiting faculty at several institutes of international repute. Awards Distinguished Alumni Award- Oakland University, MI, USA — April 2016 Topic Title: Economics in the age of Big data 
Kumar Rahul Rahul Kumar is an alumnus of NIT Jaipur and IIM Bangalore. He has more than 11 years of experience spanning across software development, business consulting, analytical modelling and leading process improvement initiatives. He started his career in Information Technology sector and worked in companies like Satyam Computers, Nokia, Siemens and Deloitte Consulting before venturing into his own business. He co-founded a start-up ARIMA Research in June 2014 and was involved in internal operations and consulting engagement for various clients till December 2015. He has ventured into another business primarily aimed at logistics and transport industry. On the technical front, he works as a research associate at IIM Bangalore and has executed several projects in analytics domain. His recent work at IIM Bangalore on “Behavioral Modeling to Predict Renege” was published at Harvard Business Review. His current engagement is a Govt. of India funded research project on developing credit scoring model for urban co-operative banks. He has taken several public as well as client specific trainings on “Introduction to Data Science using R” and “Introduction to Machine Learning Concepts using R”. He has presented papers in several national and international conferences. Few of the prominent ones are: He is a certified R professional and has also undergone workshop on the usage of statistical models and techniques from ISI Bangalore. His other certifications include DB2 certification from IBM and ISO 9001:2008 lead auditor certification by DNV India. Topic Title : Using Machine Learning Algorithms to Detect Earnings Manipulations 
Gaurav Vohra Gaurav is the CEO & Co-founder of Jigsaw Academy. With over 15 years of experience in the field of analytics, he has worked across multiple verticals including financial services, retail, FMCG, telecom, pharmaceuticals and leisure industries. His experience spans leading companies like Capital One Financial Corporation, GE Capital, Symphony Marketing Solutions and Genpact LLC. Gaurav has been rated as one of the "Top Analytics Academicians in India” by the Analytics India Magazine. An active and leading member of the analytics community, he has been a speaker and panelist at several events and his thought leadership articles are widely followed on LinkedIn and other media. In his spare time, he can be found cycling up the Nandi hills and scaling new heights trekking up the Himalayas. Panel Discussion : Analytics Education 
Vidyasagar Nallapati Vidyasagar N is a Data Scientist and Software Architect from Bangalore with close to 10 years of experience. He loves all the things mathematics, statistics, machine learning, developer tools, automation and anything that will make systems better and easier, which brought him to data science, system architecture, building large scale distributed services and designing rock-solid data pipelines. An alumni of IIT BHU and IIM Bangalore, BAI 5, Vidyasagar when not writing code can be found traveling, playing music and indulging in coffee. Currently, Vidyasagar is working on Machine Learning and Deep Learning based solutions across various domains as a part of Consulting team at Dell EMC. Earlier, he had worked as software engineer and architect at several startups building scalable big data and machine learning platforms. Topic Title : Deep Learning Architectures for Natural Language Processing 
Jitendra R Jitendra R, an alumnus of University of Mumbai and IIM Bangalore, is a Data Scientist with over 10 years of experience in Data Analytics and Data Engineering in industries as varied as Telecom, E-commerce, Energy, Pharma and Financial services. He is a joint secretary in the Analytics Society of India (ASI) and additionally guest faculty at IIMB. On the academic front his work in analytics at IIMB has been published and distributed as case studies by Harvard Business Publishing. Topic Title : Deep Learning Architectures for Natural Language Processing 
Rahul Nagar Rahul Nagar is Co-founder of a sports wearable venture called str8bat. Str8bat provides instant , visual and actionable insight to sportsperson and help them get better everyday. Being an endurance athlete (Olympic Triathlete, IronMan, Marathon Runner & Long Distance Swimmer), he is a big proponent of technology usage in sports to help upcoming, professionals and amateur players. Prior to incubating str8bat, Rahul was Digital Transformation Leader with IBM India where he played a key role to grow and transform multiple businesses in India by providing next gen and transformative solutions to its clients. In his corporate career of 20 years, Rahul has worked both in India & USA with organizations like CSC, Fidelity Sanchez, World Data Inc, Yash Technologies, Citicorp. Rahul is also an Alumni Leader of The George Washington University – Washington DC and has been instrumental in setting up GW’s presence in India. Topic Title : Analytics in Sports 
Maneesh Bhandari Maneesh is a Thought leader and Six Sigma Master Black belt bringing in a blend of Consulting, Operations, AI, Automation, Analytics and Process Excellence skills, he has rich experience of creating end-to-end solutions/platforms by bringing together elements of Business knowledge, AI, Automation, Analytics and Technology. His Expertise lies in building & scaling analytics practice across business practices, industry verticals, which has resulted in building and leading global Analytics teams. Maneesh authored a paper on Marketing analytics that has been published by Harvard Business Publishing. He filed a patent for transforming Order to Cash process using predictive analytics Topic Title : Category-Optimization: Generate Multiple Scenarios and maximize Category Revenue /Profitability for Retailers 
Praveen K Singh Praveen has 17 years of experience in Marketing Research Analytics and Risk Management. He has extensive experience in developing Analytical/Statistical based models for major CPG, FMCG and Retail Clients based on Survey, Scanner, home panel, and Loyalty Card data. His focus has been on providing tactical and strategic direction to clients in the areas of Brand communication strategy using brand Equity/Tracker data, Go to Market Strategy that includes Market Structure, Shelf Space Optimization, SKU Affinity and Profitability Analysis, Sales decompositions based on ATL , BTL and Pricing. His Advanced Model building capabilities includes BDLM, SEM, Survey analytical models, Classification and Regression tress, Ensemble Models, Advanced Time series models. He has been instrumental in managing center of excellence for large CPG client with overall account development responsibility Topic Title : Category-Optimization: Generate Multiple Scenarios and maximize Category Revenue /Profitability for Retailers 
Hanumesh Nagur Hanumesh comes with 10 years of experience in Project Management, Pre-sales in Data Analytics, and BI Reporting based projects across Retail & Telecom verticals. His strength lies in Client Relationship Management, Requirement Gathering, Project Delivery Management and he has been responsible for Positioning IBM's Analytics capabilities through effective project management and Client Servicing. His strong Presales Management and Solution Development skills has led to winning significant number of Analytics based projects and contract renewals year on year. Topic Title : Category-Optimization: Generate Multiple Scenarios and maximize Category Revenue /Profitability for Retailers 
Vineet Shukla Vineet is driving Machine Learning and Data Sciences initiatives at Optum – UHG . Vineet joined Optum after a long stint with Motorola. He comes with a diverse industry experience of 17 years. He brings with him a good blend of experience in Data Science, Machine Learning, Artificial intelligence and Software Development. He has built data science enterprise solutions to help the organization leverage its potential data assets to gain Insights leading to more efficient, effective and competitive business decisions. These solutions have been enabling different stakeholders across organization (e.g. engineering, product management, marketing, sales, customer centricity and portfolio planning) with strategic inputs and related business insights. He has filed a couple of patents; has been actively driving & contributing to hackathons and other innovation initiatives. Topic Title : Data Science practice in Health domain and Deep learning 
Ravishankar Rajagopalan Ravi is a Senior Data Scientist working with Optum – UHG, Bangalore where he focusses on applications of Deep Learning in Healthcare. He has 10+ years of experience in Data Science and Analytics having worked in companies like Mu Sigma, GE and [24]7 Innovation Labs. He has worked in the areas of Statistical Modeling, Machine Learning, Natural Language Processing/Text Mining and Artificial Intelligence. Topic Title : Data Science practice in Health domain and Deep learning 
Parag Chitalia Parag setup and leads the Advanced Analytics & Data Sciences teams at VMW, based out of Palo Alto, California. He brings over 25 years of Analytics experience & consulting with over 200 Global Fortune 500 Companies. He was one of the pioneers in setting up the 500+ Dell Global Analytics in Bangalore. Topic Title : Data Sciences at VMware 
Dineshkumar Vaitheeswaran Dinesh works as a Research Associate at IIM Bangalore and has been part of some major projects in analytics domain. He has worked closely with TVS Motors, SMNetserv and Manipal Global. His field of expertise and major projects include building geospatial analytics, persistency and propensity models. He is an experienced IT Professional with both technical and strategic management background, with 8 years of experience in Insurance Domain which includes Project Management, Operation Directing, Business Development and Communication. He has worked directly with Insurance Industry giants such as AXA, AIG and Friends life at Tata Consultancy Services. Leading business projects, from start-up to execution and delivery of sustained results have been his strengths. He has travelled athwart the globe, mentored and lead teams across the organization to support the cultural transformation and achieve the established goals. He is a LOMA Certified ALMI and Sun Certified Java professional. A number of accolades have been accredited to Dinesh’s magnanimous contribution, to mention a few - Star Team Award- Friends life UK; On the Spot Award- AIG Japan; Best Service Award, TCS; Certificate of Appreciation, AXA UK. Being an avid coder and a data science enthusiast, he is fascinated towards Deep Learning and Artificial Intelligence. He wishes to see himself leading some promising roles in this domain in near future. Topic Title : Intelligent Public Transport System Using Big Data Technologies 
G Kumar Gaurav is currently working as a research associate under Decision Sciences and Information Systems Dept. at IIM, Bangalore where he is using Big Data analytics approach to extract every ounce of information from public transport data to better understand passenger behavior and ridership patterns and know how they really use the transport infrastructure and equipment. He was also the Discussion forum moderator for Statistics for Business – II at EdX. His research ambition is to get an in-depth understanding of learning principles and scaling them to big data. He has a keen interest for research in areas such as machine learning, deep learning, bayesian inference, and big data analytics. Prior to joining IIMB, he was a Research & Development Engineer at GoPro where he worked on Proof of Concept of an Integrated Spherical Cameras, which envisaged 360 capture, and virtual reality. Overall, he has a three years of software engineering experience at Aricent, Gurgaon. He was awarded Bachelors of Engineering in the First Division with Honors from Panjab University, Chandigarh, where he was also the recipient of university scholarship grant. Additionally, he was member of Technical Committee of UTECHNOS and IEEE Student Chapter, University Institute of Engineering and Technology, Chandigarh. He was also the academic intern at Indian Institute of Technology, Delhi. Topic Title : Intelligent Public Transport System Using Big Data Technologies 
Munish Kaushik Munish is a Program Manager and a leader in CRM Platforms under Sales & Marketing domain. He has rich experience in leading cross functional multi-geographic teams, Automation & driving organization wide initiatives at a large scale. He has rich experience of creating end-to-end solutions/platforms by bringing together elements of Business knowledge. He is currently working on developing IBM's Cognitive Pricing Analytics helping sellers achieve maximum sales by pricing the products optimally. He is an alumni of the prestigious IBM Corporate Services Corps program, where he worked with Govt. of Tanzania to provide a vision and a strategy for their 2020 Health programs. He is also an alumni of Indian Institute of Management, Bangalore where he worked on public transport data to understand passenger behavior and patterns and know how they really use the transport infrastructure and equipment. Munish has submitted multiple disclosures in various fields that are published on IP.com. Topic Title : Intelligent Public Transport System Using Big Data Technologies 
Ashish Chaturvedi Ashish is a senior leader with successful analytics and deep domain expertise in healthcare industry. He has over 17 years of experience managing business for healthcare provider, healthcare insurer and healthcare pharmacy through efficacious deployment of analytics and technology initiatives. In his current role as Healthcare Analytics Consultant; he is responsible for creating analytics driven organization through strategic vision and management of embedding analytics in the business to deliver measurable and sustainable value. Topic Title : Using Machine Learning to Manage Health Outcomes and Patient Engagement 
Swadeep Singh Swadeep is an enthusiast data science professional with 6+ years of experience in machine learning, augmented intelligence, recommendation engine and business consulting. He has designed Analytics deployment framework in Healthcare for increasing the analytics maturity. He has successfully deployed systems for empowered decision making for improving healthcare experience and healthcare cost. Topic Title : Using Machine Learning to Manage Health Outcomes and Patient Engagement 
Mr. Chetan Bhargava A technology enthusiast, visionary and market disruptor, Mr. Chetan Bhargava is MIT Sloan Fellow and has a glorious career spanning over 21 years. Mr. Bhargava has worked with the Tech Giants Microsoft and GE. His belief in technology and it’s power as market enabler introduced him to the Startup world. Mr. Bhargava was founding member of Zopper and has been on board with a few other startups. He recently joined Wiley wherein he leads the Solutions business. As Director of Wiley’s Solution business Mr. Bhargava is working on creating the New Age, technology enabled solutions for Learning and Skill Development. He envisions a platform of future which is driven by Artificial Intelligence and Analytics to deliver new age learning solutions and content tailor made as per the future of Industry and present capabilities of the Individual Topic Title : Converging research-learning-innovation in emerging technology for building future skills
Dr Panagiotis Chountas Dr Panagiotis Chountas research reputation focus in the area of Data and Knowledge Engineering Intelligent Systems and their application to Business and Public organisation for the purposes of maximising business profitability and achieving more efficient and proactive process management. To this end his research is focused on the following areas: Business Intelligent Systems; Health Informatics; Large Databases and Data Repositories; Digital Media Storage Architectures. Dr. Panagiotis Chountas has been supported by the Royal society and Technology Strategy Board. Panel Discussion : Analytics Education 
Dr.Anand K Joshi Dr. Anand K Joshi was the Founder Vice Chancellor, CMR University and has been instrumental in strengthening the University’s educational ecosystem. He is currently the Advisor for Welingkar Institute of Management, Mumbai/Bangalore campuses, and is on Advisory Boards of several other universities/Institutions. Dr. Joshi has rich academic and administrative competencies and brings a unique perspective and broad understanding of the various forms of education with his 28 years of experience in Indira Gandhi National Open University (IGNOU), National Council for Teachers Education (NCTE), All India Council for Technical Education (AICTE), Ministry of Textiles, Govt. of India and Welingkar B-School. He has taught at reputed professional bodies such as ICAI, ICSI, and ICWAI. His case study has been acclaimed in the “ISB-IVEY Case Study Competition 2011”, and published by ‘Harvard Business Publishing’ and ‘Richard Ivey School of Publishing’. He also received the prestigious ‘AIMA’s Best Research Award 2011’. As a speaker and panellist, he has delivered more than 100 keynote addresses at seminars and conferences. He has more than 35 National/Intl publications and 6 citations. In the past, he served as a consulting advisor on Educational Policy, Strategy and Institutional Governance to more than 30 Industries/Academic Institutions/Universities in 5 states including Kerala State Higher Education Council, Azim Premji Foundation and Engineering Staff College of India, Hyderabad. Panel Discussion : Analytics Education 
Dr.Anand K Joshi A renowned Strategist, Management expert and Trainer An experienced management and finance professional with over 2.5 decades of professionally successful career in India and abroad. Worked for multinational firms in different capacities, The last position was with Endurance Technologies Private Ltd as a Group CFO. Also, served for an educational company as COO. Was on the board of directors of Mather & Plat Fire Systems Pvt. Ltd and also on the board of directors of two subsidiaries of Endurance technologies Pvt. Ltd in Germany and Italy.Currently, Independent director of a US subsidiary in India. Areas of expertise – IFRS, strategic management, risk management and ERP projects, business analytics and skill development. Act as a facilitator and trainer for professional courses like CA, ICMA, ACCA (UK) and CIMA, MBA etc. Renowned speaker at different forums and round tables. Address gatherings of leaders & professionals in various seminars, workshops and professional meetings for corporates & institutions in India and abroad. Helped many Indian universities in upgrading their curriculum, training their faculty and by acting as a member of their Board of studies and Academic council. Panel Discussion : Analytics Education 
Anshul Dubey 12+ years experience in Solution design and Data modeling. Focus areas: Supply Chain Management, Finance & Accounts Successfully lead Enterprise Business Intelligence projects (Both green field implementations and support). Designed, solved and implemented, large scale optimization scenarios Vast experience in SAP-ERP, SAP-ABAP and SAP-BI. Worked with multinational companies in the domains- Manufacturing, FMCG and Retail. Part of team for IoT analytics platform development. Expertise in data visualization and strategic insights. SAS Certified Predictive Modeler Using SAS-Enterprise Miner SAP Certified Solution Consultant – SAP BI 7.0 Certified in Basics of Supply Chain Management (APICS-CPIM) Competencies Data visualization using QlikView, Power BI. R, Python, ABAP, SQL, IBM-OPL, SPSS, SAS,SAP Predictive modelling, Machine Learning Good functional knowledge of SCM. Analytical & Reasoning skills, advanced MS-excel. Technology agnostic. Solution based approach Topic Title : Critical connections: Optimal gate assignment for a major metro airport in India. 
Ravi Vijayaraghavan Vice President and Head - Analytics at Flipkart.com Contact: ravi.vijayaraghavan@gmail.com I am an executive leader with a proven record of building world-class analytics and data sciences organizations. I have built and managed data science and analytics teams in Large Fortune 500 Companies and Silicon Valley startups. I am currently responsible for the Analytics organization at Flipkart. Flipkart is the leading destination for online shopping in India and its biggest e-commerce player. At Flipkart Analytics organization we are embarking on an exciting journey to build cutting-edge capabilities that enable Flipkart to make better business and product decisions with data and science Education : 1. University of Michigan - Stephen M. Ross School of Business MBA, Finance and Strategy 2004 2. University of Wisconsin-Madison PhD, Engineering 90 – 96 3. Indian Institute of Technology, Madras B.Tech, Engineering 86 – 90 Topic Title : Analytics and Science for Growth and Consumer Experience at Flipkart. 
Dr. Ambrish Joshi I am currently working as AVP, Healthcare and Lifesciences, Genpact, and responsible for Analytics and research operations for leading several global pharma organizations. Have been working with 18+ years in Consulting/ Research & Analytics/ Project Management/ Operations/Solutioning/ Product and Marketing Management/ Leadership role in designing and developing strategies for Pharmaceutical & Healthcare businesses and products. Work has been instrumental in providing decision support to leading global healthcare/ pharmaceutical organizations for developed and emerging markets. Work areas include Analytics function transition and transformation, Setting-up teams and executing several analytics and research engagement and projects – e.g. Performance reporting, Advanced analytics, Research and competitive intelligence, Business Intelligence and Data management, etc. Executed few diagnostic projects for leading Pharmaorganizations. Worked with research & consulting organization for ~10 years and in past have worked for nearly a decade in the marketing/ product management function for pharmaceutical organizations. Have also authored and presented research publications and guest lectures at several renowned institutions & organizations. Been an executive committee member at International Society for Pharmacoeconomics and Outcomes Research - India Chapter Education:
Topic Title:Transformation Approach at Analytics function within Pharmaceutical organizations 
SANJAY MUJOO Sanjay has 21+ years of IT Customer Support delivery experience. He joined HP in April 98. During his tenure of 14+ years at HP, he has setup India Remote Support operations for Commercial & Enterprise Customers, led Compaq & HP merger of technical support, led country services readiness planning, managed offshoring practice as an expanded role during the early GD days, and has been a part of the Leadership Team from the formative years of CSC Bangalore in 2005. Business Strategy, Decision Sciences and Big Data Analytics Practice initiated by Sanjay is evolving to tackle real world problems in Delivery Excellence, Customer Support and Enterprise Infrastructure management. Sanjay’s other experiences include Service Business Management at Olivetti India and Support Manager role at Ramco Systems (Bay Networks). Sanjay holds an Engineering Degree in Electronics & Communication. Topic Title:Importance of blending strategy and analytics into implementable real world business problems. 
Anthony Thomas (Tony) is the Chief Information Officer (CIO) for GE Global Growth Organization. Tony joined GE in September 2015. Prior to joining GE, Tony has worked at Vodafone, Citigroup, Ernst & Young, Intelligroup Inc. etc., among other leading organizations and held leadership roles in Management Consulting, Information Technology and Business Operations. For most of his career, he was based out of USA. Tony has managed teams across the globe including in India and has made many key contributions to Information Technology. In his previous role at Vodafone, Tony was instrumental in building a strong partnership between IT and the rest of the business. Under his leadership, Vodafone rolled-out the new central IT structure and laid the foundation for a world-class IT delivery team focused on business outcomes. He played a key role in helping the company achieve an all-time high satisfaction with IT employee, partner engagement and customer satisfaction. During his tenure at Citigroup, Tony championed the digitization of key Banking processes, including acquisitions, servicing, payments for a full lifecycle positive channel agnostic customer experience. He also led the development and launch of eDelivery platform for global Digital Delivery. Tony is a recipient of many industry awards for innovation and technology and is an active member in the startup ecosystem being a founding member of CIO Angel Network (CAN), and a member of Indian Angel Network (IAN). Tony has been a core member of Reserve Bank of India's Technical Committee on Mobile Banking; core member of CII National Committee on IT, ITeS&eCommerce, ASSOCHAM National Council on IT/ ITeS, Cellular Operators Association of India (COAI). Topic Title: Leading in a digital industrial world. 
Souma Das Executive Summary A 26+ year career in IT Product Sales & Services Leadership of consistent achievement and experience in leading sales, marketing, Product management, system engineering, consulting, operations, My strength and passion is to build/develop and grow revenue lines of existing or new business operations and enjoy challenges of building from scratch for a startup or turn around brokenoperations to accelerated growth. I enjoy building and working through a team, coaching them to grow and develop into more senior skill/management/leadership roles. Post my MS, had started my career as System engineer with Wipro and followed by various roles at IBM, Citrix and currently with Qlik. 18 of 26 years I have spent in selling IT solutions & software in India sub-continent market. Strong interest in people, technology, innovation and continuous improvement A highly focused, result oriented, multi-culturally aware, high integrity, non-political person, strong on vision/concept but also hands-on and delivery detail oriented. Education EMBA - The Fuqua School of Business, Duke University Topic Title : Will be updated shortly. 
Pramod Singh is Chief Analytics Officer of Yodlee based out of Bangalore. He is responsible for delivering analytics solutions for the enterprise. Before joining YodleePramod Singh was Director of Digital and Big Data Analytics at Hewlett Packard. He has more than years of leadership experience in leading analytics teams and in design and implementation of analytics solutions. Pramod was with the HP since 2000 in different roles. For almost 15 years at HP, Pramod has lead advanced analytics teams in areas of customer knowledge management, e- business , global business intelligence in IT and digital and big data analytics.. Before joining HP, Pramod worked at Wal-Mart's Information systems. Here, he designed and developed advanced assortment planning system, a technology that revolutionized the store assortment practices for Wal-Mart. Pramod has PhD and Masters in Mathematics from University of Arkansas and an MBA in Marketing. Pramod is author of several published papers and patent and regular speaker at international conferences. Topic Title: Democratization of Data. 
Deepak Mishra He is also in-charge of analytics consulting for Asia region He had vast experience in Credit Risk Analytics, Marketing Analytics & Customer Insight Analytics in B2B and B2C domain His keen interest in knowledge sharing led him to design and deliver training programs for Credit Risk Management, Analytics, SAS, Excel etc. Prior to joining Thomson Reuters, he worked with HSBC Credit Risk Analytics for Credit Cards and Auto Finance portfolio. Skills & Interests: Machine Learning, Statistical Modeling, Text Mining, Sentiment Analysis, Market Basket Analysis, Genetic Algorithm, Technical Analysis of stock Markets Education: Master of Technology from Indian Institute of Technology Kanpur Specialization: Optimization, Statistics, Portfolio Risk Management, Genetic Algorithms.
Krishna Mohan He is a data enthusiast working on a Lead Generation application for Legal professionals. In recent years, Krishna has augmented his experience in infrastructure, application development and business strategy with data analytics targeted at improving customers' business opportunities. Prior to Thomson Reuters, Krishna has worked for Reed Elsevier, International Paper, Motorola and Sprint. Skills & Interests: Regressions analysis, Decision modeling, Sentiment Analysis, Classification Education: MBA - University of Cincinnati, Cincinnati, OH Title Topic: Leveraging Customer Insights for Analytics at Thomson Reuters |
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