Apr 2025 – Present · 11 mos

May 2024 – Nov 2025 · 1 yr 6 mos

Jun 2023 – May 2024 · 11 mos

• ◦ Risk, Collections, Fraud: With Ninjacart pivoting to become a marketplace for farmers and traders with its fintech offerings, my team was responsible for all DS initiatives in the Risk, Collections & Fraud domain:
• Development of user-level features representative of their credit risk profile
• Modelling underwriting criteria at eligibility, lending & disbursal stages
• Provisioning automated underwriting and evaluation of portfolio exposure
• ◦ Commerce: We developed solutions facilitating traders' engagement on our marketplace platform including lookahead price directionality & gamification initiatives to keep them hooked.
• ◦ Sales & Distribution: While we stepped into fintech & commerce, we still continued with our fulfilment offerings where our team was pivotal in decisioning initiatives providing demand forecasts at hourly, daily & weekly levels, growth initiatives including next basket prediction as well as SCM optimisation initiatives for creating route plans for our on-ground delivery executives.

Nov 2021 – Jun 2023 · 1 yr 7 mos

• ◦ Customer Lifecycle Management: Driving a series of initiatives and DS models aimed at acquisition, service, growth and retention for a 1 Lac customer base. These include predictive modelling of customer purchase, churn and lifetime value, optimisation of beat plans for on-ground sales team as well as factor analysis in identifying underlying customer attitude.
• ◦ Supply Chain Optimisation: Built in-house optimisation modules for optimal facility location for customer delivery, vehicle routing solutions for minimising MML and LML costs and ensemble demand forecasting for reducing the stock dump and loss of sales.
• ◦ Risk Modelling for Traders: Responsible for churning out critical modules in a trader lending program of 25Cr, including scoring models for quantifying credit risk and predictive inferencing of borrower delinquency.

Jan 2020 – Oct 2021 · 1 yr 9 mos

• ◦ Tech-led Pricing: Responsible for building ML models and architecture of an automated, goal-seeking revenue & margin optimizing pricing system which takes care of both supply & demand side constraints. It serves as a decision support system for the business team and is responsible for a daily overall revenue of INR 20 million.
• ◦ Next Basket Recommendation: Built a sequence-aware recommendation system for predicting customer’s basket composition in his next order. The algorithm used is based on Factorising Personalised Markov Chains which combines the advantages of state-of-the-art MF & MC models.
• ◦ Data-Driven Customer Growth Initiatives: Completed a series of projects targeted at customer growth and retention including monitoring key platform metrics, assessing customer lifetime value, predicting customer churn and predicting his next purchase.