Projects:- Insurance domain: Helped reduce the premium review process of Underwriters by assessing the pure premium of policies using GLM (Compound Poisson Gamma) Regression model. Used python package scikit-learn for modeling, and Oracle DB for querying data- Insurance domain: Helped select optimum discount rates for better conversion of new policies. Python was the programming language of choice and scikit-learn package was used for modeling needs

Projects:- Energy domain: Built a fully automated dashboard for an Energy company to monitor, and forecast the energy demands of homes. Historical energy consumption data and weather data was used for training a Support Vector Regression (SVR) model. The dashboard was built using RShiny, and R programming language served the modeling needs- Retail domain: Built a descriptive analysis dashboard for a Retailer, helping them have better negotiations with their suppliers. The dashboard was a three-tier application with Reactjs for frontend, Nodejs for the backend, and SAP HANA powering the database requirements- Pharmaceutical domain: Built a dashboard for a Pharmaceutical sourcing company for bringing transparency to their RFP process by outlining the progress at every stage. Tableau was used for dashboarding, and Alteryx powered the business logic- Research: Built a web application to help data engineering professionals select the tools for building real-time and batch pipelines on Cloud- Research: Worked on a model operationalization application for model training, hosting, and versioning requirements- Research: Worked on a simulation project for understanding the success of product absorption in new markets using Agent-Based Modeling (ABM) and Bayesian Networks