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Work Background
DataInterview.comData Science mentor and coach
Feb. 2025United StatesLead instructor and data science mentor for Data interview's data science courses including SQL/Python coding, Machine Learning, A/B Testing and Causal Inference
AtlassianSenior Data Scientist
Feb. 2025 - Sep. 2025San Francisco Bay Area• Designed and launched experiments for Atlassian's Post Office messaging system, enhancing user onboarding. • Conducted opportunity sizing and refined audience segments, providing consulting support for engineers on analyses. • Identified key opportunities for re-engaging Never Active and Inactive users, leading to new work-streams and experiments. • Developed a causal inference framework to enhance measurement capabilities from observational data.
PinterestSenior Data Scientist
Jul. 2022 - Feb. 2025San Francisco Bay Area• Designed and executed large-scale experiments to measure the incremental impact of fresh content, enhancing Pinterest's 2024 content strategy. • Developed a measurement framework to quantify the supply-demand gap in shopping content, leading to a 10% increase in product coverage. • Collaborated with product managers and engineers to translate insights into actionable roadmap activities, boosting session length by 8%.
DropboxSenior Data Scientist
Sep. 2021 - Jul. 2022San Francisco Bay Area• Analyzed trial-to-purchase conversion rates for Dropbox Teams, identifying key attributes that enhanced conversion by 12% QoQ. • Designed and evaluated retention strategy experiments, leading to a 7% increase in active user retention. • Collaborated with product teams to integrate recommendations into the product roadmap, impacting over 100k Teams accounts.
GoogleQuantitative Analyst, Google Assistant
May. 2018 - Sep. 2021San Francisco Bay Area• Evaluated digital marketing return on investment for Google Assistant, optimizing spend allocation and saving $15M annually. • Developed pipelines and dashboards to track KPIs for campaigns reaching over 100M global users. • Designed and executed A/B tests for marketing emails, resulting in a 6% increase in adoption among new users. • Created behavioral models predicting long-term engagement with 85% accuracy to inform retention strategies.
SlideRuleData Science Mentor
May. 2015 - Sep. 2016San Francisco Bay AreaMentor students interested to learn about data science and enter the data science industry
eBay AdvertisingAdvertising Analytics Manager
Jan. 2015 - May. 2018San Francisco Bay Area• Promoted to Advertising Analytics Manager in April 2017, overseeing analytics strategies for eBay Advertising. • Developed solutions that balanced advertising and transaction revenue, achieving a $10M uplift in ad revenue. • Built comprehensive pipelines and dashboards to track KPIs across 10+ business verticals. • Designed and analyzed A/B tests on third-party ads, resulting in a 5% increase in CTR while enhancing customer experience.
eBayBuyer Experience Analytics Intern
Jun. 2014 - Sep. 2014San Francisco Bay AreaDeveloped key metrics to understand user behavior across different verticals like Fashion, Electronics, Collectibles etc.
Conducted A/B tests to understand how adding new features would impact buyer conversion.
Received a full time offer from eBay at the end of the internship
Northwestern UniversityGraduate Student
Sep. 2013 - Dec. 2014Evanston, IllinoisCompleted the graduate program in Analytics from Northwestern University. Graduated with a GPA of 3.965/4.0
American ExpressBusiness Analyst-Fraud Decision Sciences RIM-COE
Sep. 2011 - Apr. 2013Gurgaon, India• Developed advanced fraud detection models, achieving a 15% reduction in false positives and preventing $10M in annual losses. • Engineered innovative fraud features that improved detection precision by 20%. • Collaborated with cross-functional teams to create data-driven strategies enhancing user engagement. • Analyzed complex datasets to derive actionable insights for strategic decision-making.
InductisSenior Programmer Analyst
Jul. 2011 - Sep. 2011GurgaonUnderwent training on Base SAS, Advanced SAS, SQL, Excel VBA, Statistical modeling techniques
Analytics QuotientInternship
May. 2010 - Jun. 2010Bengaluru Area, India17th May-27th June Client: One of the largest global chocolate manufacturing clients. Business Problem: The Client wanted to understand the principal drivers influencing customer liking and choice towards its different chocolate brands. Approach & Solution: Have used the CHAID modelling technique to understand which of the brand attributes most significantly influence customer liking and choice across two different markets (Mexico and China). The analysis has thrown some valuable insights using which the Client can take actionable strategy to improve its sales.
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