Rishabh Sharma

Performed Analysis for Various Ad hoc Project base on the client requirement on patient level data and find various insights accordingly. Regular meeting with client and multiple stakeholders (business and product teams) for understanding client’s requirement and answer key questions by proactively analyzing the data for patient level Analytics. Feature engineering, data transformation, hypothesis testing performed to understand the data which helps for Model building. Using Machine Learning libraries to train and validate machine learning models (Linear and Logistic regression, Decision Tree, Random Forest, Bagging and Boosting algorithms). Giving training to new team member when required.

Developed insights for the NanoSAIO using Power Bi also developed front-end on powerapps portal.