Executive Program, IIM Bangalore on Business Analytics and Intelligence
MCA, MD University, Haryana
B.Sc. (Electronics), Delhi University
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.
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: Fantasy Sports - A game of skill or chance
Abstract: Fantasy sports is the fastest growing online gaming industry worth several billion dollars. An important debate associated with
fantasy sports across the world is whether it is a game of skill or chance. Unclear and vague online gaming laws always pose
a threat to fantasy sports companies of getting into legal battles. We tried to test this dilemma of skill vs chance using
the dominant factor test, whether skill or chance is a dominant factor in winning or loosing in these online sports. Using
the data of one of the biggest fantasy sports company and applying appropriate analytical tests, this dilemma was tested in
a structured and data driven way.