Jan 2023 – Nov 2024 · 1 yr 10 mos

• Sciences lead for Swiggy (team size ~180) spanning applied research, ML/DS, gen AI initiatives, analytics, and product management for data platforms and data products.
• Owned applied ML systems and business metrics across search and recommendations, marketplace optimization (matching, estimated time of arrival, fleet planning, etc.), monetization, fraud and abuse, forecasting and demand planning, location intelligence, and operations.
• Executive owner for generative AI adoption, including use case prioritization, cross-functional execution, and responsible deployment practices.
• Led analytics capabilities across product insights, deep dives, root cause analyses, metric definition and instrumentation, reporting and dashboards, hypothesis generation, experimentation design, and analysis.
• Product management owner for data platforms and data products (experimentation platform, ML platform, anomaly detection), partnering with engineering on roadmap, adoption, reliability, and stakeholder outcomes.

Apr 2020 – Jan 2023 · 2 yrs 9 mos

• Led applied ML/DS teams across core marketplace and business problems, including discovery, growth, revenue, fraud and abuse, forecasting, anomaly detection, and location intelligence.
• Built execution mechanisms across teams: prioritization, model quality standards, production readiness, and stakeholder alignment with product and engineering.

Nov 2018 – Mar 2020 · 1 yr 4 mos

• Built and scaled applied ML/DS teams supporting storefront, revenue and growth, fraud and abuse prevention, forecasting and anomaly detection, location intelligence, and new initiatives.
• Hired and developed senior leaders and established role guidelines, hiring bar, and performance evaluation frameworks for ML and analytics work.
• Started a publishing culture: 25+ papers (8+ co-authored) and 25+ ML blog posts on Swiggy Bytes.

Apr 2019 – Present · 6 yrs 11 mos · Bengaluru, Karnataka, India · Remote

• Support founders on data/ AI strategy, ML productization, roadmap prioritization, and hiring.
• Provide guidance on experimentation, measurement, and deployment practices for production ML.

Jul 2017 – Nov 2018 · 1 yr 4 mos · Bengaluru Area, India · On-site

• Led applied ML and analytics for ad fraud and invalid traffic detection across Amazon Advertising.
• Built signals and models to detect and block robotic and fraudulent traffic; improved ad supply quality and advertiser trust.
• Partnered cross-functionally to operationalize detection into production enforcement and iterate based on measured quality outcomes.

Oct 2016 – May 2017 · 7 mos · Greater Seattle Area · On-site

• Led a distributed data science team across Seattle, Seoul, and Beijing supporting multiple business lines.
• Established clear ownership, experiment cadence, and delivery standards for data science work embedded with product and business teams.
• Shipped and iterated ML-driven lifecycle marketing optimization (push notification targeting and timing) achieving significant lifts in CTR and order value while keeping unsubscribe rates under control.
• Built analytics and modeling for seller services, including a seller nudge program to improve engagement and action rates.
• Shipped the v1 recommender system for Subscribe and Save to drive product adoption and retention.
• [Relocated to India for personal reasons; transitioned role.]

Sep 2014 – Sep 2016 · 2 yrs · Greater Seattle Area · On-site

• Led applied data science for Xbox Live growth and retention, spanning engagement, subscriptions, and product strategy.
• Managed and coached a cross-functional team of data scientists, analysts, and data engineers; set technical direction and delivery standards from problem framing through productionization.
• Partnered with PMs and senior leadership to translate data into decisions, roadmaps, and measurable interventions.
• Built and improved early-intervention churn and engagement models that delivered a 15-35% lift in conversions and saves through targeted actions.
• Developed graph-based methods on the Xbox social and interaction graph to surface product and feature opportunities and inform community and network strategies.

Sep 2012 – Aug 2014 · 1 yr 11 mos · Greater Seattle Area · On-site

• Expanded scope across Xbox product, marketing, and strategy, delivering production-grade models and decision frameworks.
• Applied graph analytics to understand multiplayer communities, including identification of player 'clans' and multi-console households, to improve targeting and product insights.
• Built retention models using in-game telemetry and developed segmentation and clustering frameworks for audience targeting and CRM programs.
• Developed forecasting models for first-party game title sales and subscriber growth planning.
• Selected for the Microsoft Leader Bench program (two consecutive years).

May 2010 – Aug 2012 · 2 yrs 3 mos · Greater Seattle Area · On-site

• Worked with Xbox marketing, product management, and strategy with large-scale behavioral data and measurement.
• Built models for subscriber churn, monetization, and user engagement scoring (FICO-style engagement index).
• Developed forecasting models for subscriber growth and digital-content sales to drive planning and portfolio decisions.
• Conducted causal inference work using observational data to estimate the impact of product integrations (for example Netflix availability) on Xbox Live engagement and outcomes.
• Designed and shipped Xbox’s first user-level CLV models, adapting CLV methods to a mixed setting (contractual and non-contractual behavior, discrete and continuous time); outputs powered offers in call centers and on Xbox.com.

Feb 2008 – Apr 2010 · 2 yrs 2 mos · Greater Seattle Area

• Primary Statistician/ Data Scientist, Collections Strategy
• Led applied modeling for collections strategy supporting a large, high-risk subscriber base where collections effectiveness materially impacts losses and cash flow.
• Identified key risk and payment-behavior attributes and built statistical and ML models to route accounts into the right collections treatments across pre-delinquency and delinquency stages.
• Optimized strategy for a three-way tradeoff: maximize recoveries, increase self-cure rates, and minimize churn risk.
• Ran A/B testing to evaluate competing approaches, learn robust features, and continuously improve performance.
• Built a strong working knowledge of credit risk and collections operations in a high-ownership environment.

Jan 2005 – Feb 2008 · 3 yrs 1 mo · Greater Seattle Area · On-site

• > Lead Analyst
• Led analytics for an approximately $50B retail savings portfolio.
• Built segmentation and models to manage balance run-offs, improve retention targeting, and strengthen fraud prevention.
• Operationalized outputs into targeting and portfolio actions.
• > Senior Lead Analyst (AVP promotion)
• Built branch contact strategies, debit-card migration targeting, and teller real-time next-best-product recommendations.

Oct 2003 – Jan 2005 · 1 yr 3 mos · Phoenix, Arizona Area · On-site

• Built and deployed statistical models for the Small Business credit card portfolio (acquisition, retention, portfolio management, credit line management, balance transfer, etc)
• Rewrote some of the data aggregation, model validation and reporting code to reduce cycle times by up to 5x.
• [On contract via TekSystems]

Jul 1999 – Mar 2001 · 1 yr 8 mos · Aurangabad Area, India · On-site

• - First job out of college; worked on productionizong the 4-stroke variant of a scooter (Bajaj M80!) aimed at rural customers. Worked across everything from shop floor to design.