Sharada Sringeswara

Research Consultant

IIMB

Sharada Sringeswara’s research interest includes Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning Algorithms. She is a data enthusiast with experience in product engineering.
She has over 20 years of industry experience in leading development organisations, delivering products in supply-chain area with strong technical skills. A seasoned analytics executive with significant hands-on and leadership experience in building business models with understanding of the digital technology landscape.

Her key accomplishments include,
Building an advisory system for farmers by,
1) Working along with government agencies in acquiring weather data
2) Developing weather based data models for weather sensitive crops like Grapes

Building cloud based real-time analytics dashboard to enable supply-chain operations for retailers. The analytics dashboard will automate repetitive process, minimize effort for business operations monitoring and also provide actionable insights through data.

Applying big data analytics and statistical modelling techniques in analyzing data regarding Fantasy sports.

Developed analytics dashboard (using Python Dash) to provide insights on Farmers, Crop and Disease data for an Agro-tech company

Developed Route rationalization, Revenue Optimization and Fare rationalization models for BMTC (Bangalore metropolitan transport company) as part of Big Data Analytics certification course. The designed Python Dash dashboard would provide BMTC personnel with both macro and micro information needed to plan the schedules, routes and trips.

Conducted training sessions as guest speaker at IIMB and IIML on,
1) Data Visualization and storytelling using Tableau and Apache Superset
2) Text Analytics

Published a case on Harvard Business Publishing: Fantasy Sports: A Game of Skill or Chance along with co-authors: Prof. Dinesh Kumar and Shailaja Grover

LinkedIn