Rounak Banik - Investment Associate

Rounak Banik

Investment Associate

Ann Arbor, Michigan, United States

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Summary

👤

Senior

🎓

Top School

Rounak Banik is an investment associate and former McKinsey/QuantumBlack data scientist with 11 years' experience building AI-driven solutions that delivered over $500M in cumulative client impact across healthcare, banking, and telecom. He blends engineering rigor from an IIT Roorkee B.Tech with liberal-arts breadth from Ashoka and business grounding from Harvard CORe and an MBA in Business & Data Science at Michigan, enabling him to translate complex technical models into strategic outcomes. A hands-on software engineer and author, he has taught large online cohorts, written a book on recommendation systems, and built open-source tooling for generative-art NFTs that includes production-ready metadata pipelines. Known for early-impact promotions, top performance ratings and a global innovation win at McKinsey, he brings a rare mix of product delivery, consulting craft, and mentorship to investments in mission-aligned tech.

10 years of coding experience

7 years of employment as a software developer

Credential of Readiness (CORe), Credential of Readiness (CORe) at Harvard Business School Online

Young India Fellowship Liberal Arts , Young India Fellowship Liberal Arts at Ashoka University

Master of Business Administration - MBA Business and Data Science, Master of Business Administration - MBA Business and Data Science at University of Michigan

Indian Institute of Technology Roorkee

Mathematics, Mathematics at UC Berkeley Extension

English, Hindi, Bengali, Tamil

Github Skills (5)

json10

pandas10

nft10

python10

generative-art9

Programming languages (3)

Jupyter NotebookMarkdownPython

Github contributions (5)

rounakbanik/generative-art-nft

Sep 2021 - Mar 2022

A generative art library for NFT avatar and collectible projects.

Role in this project:

Back-end Developer

Contributions:22 commits, 5 PRs, 12 pushes in 5 months

Contributions summary:Rounak focused on developing the metadata generation functionality for an NFT generative art project. Their primary contribution was the implementation of a Python script (`metadata.py`) that processes metadata and generates JSON files for each generated NFT. The user also refactored the code and fixed bugs in the generation script by reverting changes as needed. The project uses pandas for data manipulation and json for outputting the metadata.

artopenseagenerative-artnftgenerative

rounakbanik/retronet

Jun 2015 - Aug 2016

Contributions:3 commits, 2 pushes, 1 branch in 1 year 1 month

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