Nov 2019 – Present · 6 yrs 6 mos

• Lead product data science for core user-facing surfaces, including recommendation systems, notifications, and GenAI experiences, driving marketplace efficiency, engagement, and long-term user value across 100M+ users.
• Owned analytics and experimentation for recommendation and notification systems, optimizing ranking, targeting, and frequency to balance user engagement, trust, and monetization
• Partnered closely with product, engineering, and marketing to drive decisions across acquisition, activation, and re-engagement, influencing roadmap and launch strategy
• Built decision frameworks to evaluate short-term lift vs long-term retention and user experience tradeoffs, shaping product and growth investments
• Led A/B testing and holdout strategies to measure incremental impact of lifecycle interventions (e.g., notifications, re-engagement campaigns) on engagement and revenue
• Drove measurable improvements in conversion, engagement, and retention (low single-digit % lifts across multiple initiatives)
• Led analytics for a 0→1 LLM-powered assistant, defining success metrics and evaluation frameworks to measure response quality, user satisfaction, and downstream behavior

Nov 2018 – Oct 2019 · 11 mos · San Francisco, California

• Worked on the Customer Identity Platform, improving user onboarding and signup conversion at scale.
• Owned experimentation and analysis for the rider signup funnel, identifying and reducing friction across onboarding flows
• Partnered with product and engineering to drive improvements in conversion and activation metrics
• Built funnel diagnostics and root cause frameworks to explain KPI shifts and guide product fixes
• Developed real-time onboarding dashboards (Tableau) to monitor conversion and drop-offs across surfaces.

Aug 2017 – Nov 2018 · 1 yr 3 mos

• Focused on improving repayment behavior and reducing delinquency through data-driven product and communication strategies.
• Designed and analyzed test-control experiments for lifecycle communications, driving ~3% lift in payment rates
• Built frameworks to evaluate user risk and repayment behavior, informing targeting and policy decisions
• Partnered with product and operations to translate insights into execution across digital communication channels

Jan 2017 – May 2017 · 4 mos · Greater Minneapolis-St. Paul Area

• During my internship at Carlisle Fluid Technologies, I collaborated with the marketing team to analyze customer transaction data and provided actionable insights. I built machine learning models to segment customers and developed Tableau dashboards to visualize key performance metrics.

Nov 2016 – Dec 2016 · 1 mo · Greater Minneapolis-St. Paul Area

• Collaborated with a team of data scientists to solve real-world business problems for a Global CPG Company. Using regression analysis and anomaly detection techniques, I assessed the promotional impact on sales for some of the largest retailers in the US. Furthermore, I developed an interactive Tableau dashboard to visualize the impact of promotional strategies for every retailer at a product-category level.

Aug 2016 – Sep 2016 · 1 mo · Greater Minneapolis-St. Paul Area

• Collaborated with a team of data scientists to tackle real-world business challenges for a Fortune 500 leader in the Travel Industry. I led a 5-member analytics team in forecasting revenue and hotel prices, utilizing time series models to provide accurate predictions at different levels.

May 2015 – May 2016 · 1 yr · Pune/Pimpri-Chinchwad Area

• Provided data analytics consulting to emerging technology companies.
• Leveraged statistical analysis and built data science models to identify key drivers for market adoption and recommended changes in salesforce strategy.

Jul 2014 – May 2015 · 10 mos · Greater Bengaluru Area

• Analyzed campaign performance and user behavior data to optimize targeting, engagement, and ROI
• Built reporting dashboards and conducted analyses to improve marketing effectiveness and conversion metrics

Jan 2014 – Jun 2014 · 5 mos · Bengaluru Area, India

Jun 2013 – Dec 2013 · 6 mos · Chennai Area, India