Jun 2022 – Jul 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

• Drove strategic analytics to shape product & business decisions across multiple new offerings in Stocks & derivatives. Led end-to-end product lifecyle from conceptualization, market assessment,data-driven guidance for development , experiment design, GTM strategies, and impact analysis leading to improved adoption and growth. Analytics-driven products achieved upto 40% higher adoption, 1.5X higher retention and 2.5% order uplift
• Led the development and productionalization of a machine learning-based personalized stocks recommendation product, driving full scale execution from ideation to overseeing implementation.Successfully scaled the product, delivering a 4% increase in monthly revenue through engagement and order growth
• Pioneered a ML-driven behavioral segmentation to create user archetypes and derive actionable insights, significantly boosting personalized campaign effectiveness with a 4X increase in click-through rates and a 2X rise in conversions.
• Ideated a differentiated user engagement campaign strategy for Growth team powered by ML based personalized stocks predictions for user cohorts; Resulted in a 2-3X increase in CTR and session retention and 3-5% uplift in orders
• Boosted customer NPS scores (Equity, FnO, Mutual Funds) by 10-15 points by identifying controllable levers leading to order cancellations/rejections, measuring latency (orders, prices, charts), and setting up real-time monitoring for metrics and interventions on pain points
• Transformed the Investment analytics team into high-performing experts through focused mentorship and continuous learning, leading to rapid career advancement and team being recognised as key strategic contributor
• Led end-to-end data migration efforts from GCP BigQuery to Apache Pinot; Oversaw the database migration strategy from schema definition & conversion, defining data quality rules, Data quality management & Data synchronization and monitoring to ensure data’s accuracy and completeness

Apr 2019 – Jun 2022 · 3 yrs 2 mos

• Led an eight-member analyst team in enhancing strategic decision-making across Lifestyle, Luxury, and Electronics sectors. Achieved substantial improvements in assortment & burn optimization, campaign spending, and financial metrics like GMV and P&L
• Co-led the development of a predictive model using boosting techniques, recognized in a Harvard Business School case study, to identify a new metric "perfect orders." Proactive interventions to achieve metric improved Net Promoter Score (NPS) by 6% and enhanced adherence to 2 day delivery by 10%
• Led the creation of an ML-based product recommendation system that analyzes past purchases, user preferences, and browsing behavior. Recommendation driven personalized CRM campaigns yielded ~10% incremental revenue

Apr 2019 – Apr 2021 · 2 yrs

• Developed Customer Data Platform (CDP) that provides a holistic view of shopper preferences and behavior. This platform enabled driving a cross-sell recommendation model, significantly enhancing personalized campaigns with 5X increase in click-through rates(CTR) and a 3X uplift in conversions
• Independently managed the entire campaign performance analysis and recommendation workflow for the Digital Marketing(DM) team. Through data-driven insights, optimized paid campaigns against output metrics - ROAS, CPO & CAC; Drove significant improvements in campaign performance, driving a more efficient & impactful DM strategy

Sep 2016 – Apr 2019 · 2 yrs 7 mos · Mumbai

• -Led a data-driven loss mitigation strategy, managing a $25MM teller withdrawal line and employing ML techniques like decision trees, HP-Split, and CHAID. This approach analyzed check fraud trends and identified high-risk customer segments, ultimately saving ~$6MM annually

Sep 2014 – Dec 2015 · 1 yr 3 mos · Bengaluru, Karnataka, India

• - Led the outreach and awareness efforts to scale up NGO operations across the city by organizing various community events/ outreach activities

Jan 2014 – Jan 2016 · 2 yrs · Bengaluru Area, India

• Organized multiple back-to-school campaigns for school dropout kids in the east Bangalore under-privileged community; led the NGO efforts to organize summer camps for school children and health camp for nursing mothers

Jul 2013 – Aug 2016 · 3 yrs 1 mo · Bengaluru Area, India

• Led Macroeconomic Analysis for Retail Performance Prediction :
• Identified key economic factors impacting retail store performance. This analysis yielded actionable insights, improving prediction accuracy, explainability and data-driven decision-making for clients.
• Unveiling Customer Patterns: A Data-Driven Approach to Churn Prediction and Risk Profiling :
• Developed customer segmentation and churn risk prediction framework for driving improved customer retention. Segmented customers, predicted buying cycles, & risk-profiled based on behavior deviations. Data-driven approach enabled marketing interventions to prevent churn of high-risk customers

Jan 2013 – Jun 2013 · 5 mos · Pune

Jul 2012 – Jun 2013 · 11 mos · Hyderabad Area, India

• Organized orientation sessions, drove the NGO’s community work through planned student visits and collaborative efforts with the local community

Jun 2011 – Jul 2011 · 1 mo

Mar 2011 – Apr 2012 · 1 yr 1 mo · Greater Hyderabad Area

May 2010 – Jul 2010 · 2 mos · Andhra Pradesh, India