Work experience
Lead Data Scientist at WeRize, Sep 2025 - Present · 1 yr, Bengaluru, Leading Growth and AI vertical with a team of Data Analysts, Scientists and AI Engineers.
Senior Data Scientist at CashKaro.com, Apr 2024 - Sep 2025 · 1 yr 6 mos, On-site, 1. Directed a team of data scientists and analysts, fostering an environment of learning and innovation to advance our data capabilities. 2. Developed a churn prediction model to identify at-risk customers, paired with targeted marketing strategies to boost ACPU and enhance user retention by 12% 3. Hybrid recommendation system integrating content-based and collaborative filtering techniques. Introduced "Your Favorites" and "You May Also Like" features, significantly improving the retailer mix, user engagement, and commission income. 4.Predictive models to analyze New user behaviors, successfully lifting first-month user (D30) activation rates by 5%. 5.Developed Credit Card and Personal Loan recommendation system for the banking vertical, leveraging user shopping data and credit information to enhance credit card issuances.
Data Scientist II at CARS24, Aug 2023 - Apr 2024 · 9 mos, Gurugram, Haryana, India, 1. Developed a predictive model for Lending Partner Approval to determine the likelihood of customer approvals based on lending partner credit policies, streamlining credit team operations and reducing funding costs. 2. Implemented a model to forecast which leads would secure car loans, whether through CARS24 or external sources, enhancing lead conversion efficiency and calling team efficiency. 3. Designed a predictive model for ROI-Driven Demand Elasticity to evaluate user conversion in response to varying Rate of Interest (ROI), balancing the trade-off between conversion rates and profitability.
Data Scientist at BharatPe, Sep 2021 - Aug 2023 · 2 yrs, New Delhi, Delhi, India, select * from postpe where work in ('Lead Consumer Data Science') and teams_worked in ('RISK', 'MARKETING', 'CX', 'BUSINESS') 1. Pioneered the BharatPe Swipe merchant attrition model to predict merchant churn, enabling targeted offers for high-value merchants and optimizing resources. 2. Conceived an innovative SMS-based underwriting system for personal loans, accurately gauging the FOIR and creating underwriting rules for each customer. 3. Executed pre-campaign analysis harnessing RFM, basket analysis, and customer segmentation, pinpointing high-value customers for in-app promotions. 4. Launched a comprehensive Line Management Policy, personalizing credit limit adjustments for users, enhancing customer satisfaction and revenue. 5. Collaborated with the Collections Team using geospatial analysis to identify and capitalize on untapped lending opportunities in specific geohashes, boosting the lending base.
Data Scientist at Innowatts, Jul 2020 - Sep 2021 · 1 yr 3 mos, India, • Built Scalable predictive analytics products for various Fortune 500 Clients of the energy sector across ERCOT, PJM, NEPOOL, and NYISO power markets with 97% accuracy to help retailers to optimize trading, pricing, and hedging decisions. • Applied statistical and algebraic techniques, diagnostics, and industry intelligence and modeled large volumes of data to build energy Load Forecasting, Disaggregation, and Clustering modules. • Built a Smoothing mechanism for load forecast using locally weighted regression to eliminate jagged behavior. • Built Regularization Ridge) models to address over-fitting in the highly sensitive feature-engineered variables to improve the stability of the model. • Develop a Model to capture patterns of how Covid19 impacted differently Energy segments i.e. Residential, Small Business, and Large Business.
