Deployed end-to-end demand-forecasting ML pipelines that empower the enterprises to proactively reduce waste in their supply chain.• Implemented a post-processing ML algorithm that enhances prediction accuracy and resolves discrepancies across different time scales.• Designed, tested, and deployed feature engineering logic.• Led internal education sessions on EDA best practices.

Procured datasets and performed data transformations, modeling, and visualization for research projects on population health outcomes.• Compared effects of non-pharmaceutical policy measures on COVID-19 case growth rates across multiple nations (on sub-national level regions) using first-differenced models with fixed effects.• Quantify the causal impact of the California wildfire smokes on population health indicators by geographical regions.

• Constructed ETL pipeline for patient survey data.• Designed and implemented a patient outcome tracking dashboard to be used by physicians and health care providers.