Skip to content
View Aritra-20's full-sized avatar

Highlights

  • Pro

Block or report Aritra-20

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Aritra-20/README.md

Hi, I'm Aritra 👋

Product & analytics person. I spent 2.5+ years as a Systems Engineer at TCS, building backend systems for insurance and HR platforms. Now I'm doing my PGPM at Great Lakes Institute of Management, Chennai, specialising in Product Management and AI & Data Analytics.

I care about the step from data to decision: finding the signal in messy data and turning it into something a product or business team can act on.

⚡ Currently: PGPM at GLIM · building product analytics case studies · validating PMF and GTM for B2C AI EdTech products

🌐 Portfolio: aritrapal.me · 💼 LinkedIn: aritrapal20 · 📫 Email: aritrapal20@gmail.com


🧭 Product work

Project What it is
Product Portfolio A 23-slide Microsoft Teams teardown (personas, North Star metric, prioritisation, a wireframed Focus Digest fix) and an AI EdTech PMF & GTM study
GhostStudy · live demo A clickable prototype that finds the gaps between MBA classes and ghost-blocks them for certification study

🔍 Analytics work

Project What it does Stack
Pharma Sales & Rebate Analytics ProcDNA case, built in Excel. Territory sales, $7.25M in GPO and group-contract rebates, and profit from 10,900 invoice lines. Rebates eat about half of the $14.6M profit. Excel · SUMIFS · INDEX/MATCH
Healthcare Provider Fraud Detection Turns 500K+ Medicare claims into provider-level features and flags fraudulent providers. The Random Forest reaches a PR-AUC of 0.712, about 7.7× better than chance. Python · scikit-learn · Statsmodels · Tableau
Patient Experience NLP Reads 215K Drugs.com reviews to find the side effects behind bad ratings, and finds 35 "hidden" side-effect signals in drugs that rate well. Python · NLP · VADER · Pandas
Drug Reviews ETL Pipeline Models 161K Drugs.com reviews as a star schema in SQLite and answers business questions in SQL. Python · SQL · SQLite

🧰 Toolkit

  • Analytics: Python · SQL · R · Pandas · scikit-learn · Power BI · Tableau · Jupyter
  • Product: Roadmapping · GTM strategy · Customer discovery · Agile/Scrum · Wireframing
  • Cloud & eng: AWS · Azure · REST APIs · Serverless

🏅 Certifications

AWS Certified Solutions Architect – Associate · AWS Certified Cloud Practitioner · Google Professional Data Engineer · Microsoft Power BI Data Analyst · Microsoft Azure AI Associate · Microsoft Power Platform Fundamentals (PL-900) · McKinsey Forward Program


Open to Product Management, Product Analytics and Tech/Strategy Consulting roles.

Pinned Loading

  1. healthcare-fraud-analytics healthcare-fraud-analytics Public

    Flags fraudulent Medicare providers from 500K+ claims. Random Forest, PR-AUC 0.712 (7.7x better than chance), plus a Tableau dashboard

    Jupyter Notebook

  2. pharma-etl-pipeline-drug-reviews pharma-etl-pipeline-drug-reviews Public

    ETL pipeline on 161K Drugs.com reviews: clean, model as a star schema, load to SQLite, answer business questions in SQL

    Jupyter Notebook

  3. pharma-nlp-sentiment pharma-nlp-sentiment Public

    NLP on 215K Drugs.com patient reviews: which side effects drive bad ratings, and 35 hidden side-effect signals in well-rated drugs

    Jupyter Notebook

  4. ghoststudy ghoststudy Public

    Concept prototype: finds the gaps between MBA classes and ghost-blocks them for certification study. Clickable live demo

    HTML

  5. product-portfolio product-portfolio Public

    Product teardowns, strategy case studies and GTM work: Microsoft Teams teardown, AI EdTech PMF & GTM study