A close ally of business partners, I leveraged data and ML techniques to develop solutions that generate strong business impact.
Pioneering an end-to-end, ground-up development of a ML pipeline for mapping risk of return associated with COD shipments for reducing reversal charges for D2C sellers.
Developed data processing pipelines to deal with vast amount of unstructured address data.
Built forecasting models for inventory planning basis custom D2C seller profiles.
Built fraud detection models for early stage identification of weight and shipment frauds.
Probed geo-spatial data to drive business expansion in the realm of hyperlocal delivery.
Built a core framework in Python that serves as backbone for other analytics based processes. Incorporated best practices for logging, maintaining data and model artifacts, standardising redundant functions and code flows.