I’m a Product Data Scientist at PayPal with ~4+ years of experience working across fintech, e-commerce, and healthcare analytics, helping teams turn complex data into clear product and business decisions. Currently at PayPal, I work on: User cohorting & segmentation frameworks across Checkout, P2P, Savings, and Billing products Causal inference & experimentation (e.g., Coarsened Exact Matching) to measure true product impact GenAI-powered insight generation to automate business reviews and KPI storytelling Growth and marketing optimization, reducing costs while improving ARPA and engagement metrics Previously, I’ve driven data-led growth initiatives at Dunzo and large-scale analytics & automation at EXL, working with datasets ranging from millions to tens of millions of users. What I can help you with on Topmate: Product analytics & metrics design User segmentation, cohorting & experimentation SQL & Python for analytics (real-world use cases) Career guidance for Data Analyst → Data Scientist → Product roles Resume reviews & interview prep (analytics / product / data science) Breaking into fintech & consumer tech analytics roles I enjoy simplifying hard problems, mentoring early-to-mid career professionals, and sharing practical insights from real production systems not just theory.