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hiutkarshhere/README.md

📊 About

Product Analyst with 9 months of internship experience in funnels, retention, experimentation, and causal inference. Drove a +17.8% activation lift via a UPI KYC A/B test (p<0.00001) and saved 15+ engineering hours/week through automated ETL pipelines. Built six end-to-end product analytics case studies across UPI payments, quick-commerce, and marketplace ecosystems.

🌱 Currently: deepening my statistics foundations (hypothesis testing, causal inference) and preparing for the Microsoft DP-600 certification.

Core tech stack: Python, MySQL, PostgreSQL, Git, GitHub, VS Code

🚀 Product Analytics Case Studies

PayFlow — UPI Product Analytics

Python A/B Testing

+7.29pp activation lift (p<0.00001) — shipped to 100% of traffic

QuickDash — Dark-Store Ops Analytics

Python Difference-in-Differences

1.78-min delivery-time cut via Difference-in-Differences

Mela — Marketplace Seller Analytics

Python WOE/IV scorecard

WOE/IV churn scorecard — 9.5% vs 0% churn by risk tier

Nivesh — Investing Product Analytics

Python Event study

Isolated risk-segment behavior during a market correction

FlowBoard — SaaS Pricing Experiment

Jupyter Notebook Randomized experiment

Randomized pricing experiment across 966 SaaS companies

QuickRide — Marketplace & Regulatory Impact

Jupyter Notebook Difference-in-Differences

DiD on a real regulatory ban, using surge as a natural control

🧰 Product Analytics & BI Toolkit

Power BI Tableau Amplitude Mixpanel Pendo
A/B Testing Difference-in-Differences Cohort and Retention Analysis Causal Inference

📈 GitHub Activity

16 public repositories 6 product analytics case studies



Python SQL Jupyter Notebook Power BI

Animated snake moving through my real GitHub contribution graph

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  1. flowboard-saas-analysis flowboard-saas-analysis Public

    Product analytics case study evaluating whether hybrid seat + usage-based pricing improves B2B SaaS retention, revenue expansion, and segment-level outcomes through a randomized pricing experiment.

    Jupyter Notebook

  2. Mela-Marketplace-Seller-Analytics Mela-Marketplace-Seller-Analytics Public

    Marketplace seller analytics project analyzing onboarding, GMV growth, category economics, cohort retention, and seller churn risk using WOE/IV scorecard methodology.

    Python

  3. Nivesh-Investing-Product-Analytics Nivesh-Investing-Product-Analytics Public

    Investing app product analytics project analyzing onboarding conversion, SIP retention, market-correction behavior, investor segmentation, and multi-product adoption using Python, SQL, statistical …

    Python

  4. PayFlow-UPI-Product-Analytics PayFlow-UPI-Product-Analytics Public

    UPI payments product analytics project analyzing onboarding conversion, cohort retention, RFM user segmentation, and KYC A/B testing using Python, SQL, statistical analysis, and Power BI.

    Python

  5. QuickDash-Darkstore-Ops-Analytics QuickDash-Darkstore-Ops-Analytics Public

    Quick-commerce product analytics project analyzing demand conversion, dark-store performance, delivery SLA, and the causal impact of a routing system rollout using Difference-in-Differences.

    Python

  6. quickride-marketplace-analysis quickride-marketplace-analysis Public

    Ride-hailing marketplace analytics project evaluating the operational impact of a regulatory ban on advance-tip prompts using Difference-in-Differences, with analysis of driver matching, wait times…

    Jupyter Notebook