A close ally of business partners, I leveraged data and ML techniques to develop solutions that generate strong business impact.
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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.
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Developed data processing pipelines to deal with vast amount of unstructured address data.
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Built forecasting models for inventory planning basis custom D2C seller profiles.
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Built fraud detection models for early stage identification of weight and shipment frauds.
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Probed geo-spatial data to drive business expansion in the realm of hyperlocal delivery.
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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.