Arunava Banerjee
Data Science @ Columbia University || Data Governance & Full Stack Engineer @ Kimberly-Clark || Seeking Summer 2026 Internships in Analytics & ML || Python, R, SQL, Machine Learning || Computer Science @ VIT
- Role
- Data Conversion Engineer at Kimberly-Clark
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Arunava Banerjee
I find stories in data and make them meaningful for the people making decisions. That approach has guided my journey from computer science student to data engineer at Kimberly-Clark, and now as a Master\'s student in Data Science at Columbia University.Over three years at Kimberly-Clark, I built data governance platforms managing 500+ enterprise assets, engineered ETL pipelines processing data from 180+ countries, and developed full-stack solutions using Python, SQL, Angular, and NodeJS. I optimized API response times by 35%, analyzed manufacturing operations across 100+ mills, and earned \"Star of the Month\" for rapidly adapting our platform under tight deadlines.On the analytics and ML side, I\'ve developed recommendation engines, built predictive models, and worked extensively with statistical modeling using R, Tableau, and D3.js. At Columbia, I\'m deepening this foundation through Applied Machine Learning, Algorithms, and Statistics coursework.I bridge technical and business worlds—leading Agile teams with 100% on-time delivery, collaborating with UX designers on 30+ prototypes, and mentoring 10+ developers. What drives me is curiosity about patterns, whether that\'s uncovering supply chain inefficiencies or understanding model performance across datasets.Seeking Summer 2026 internships in data science, ML, or analytics where I can apply production engineering experience alongside advanced techniques from Columbia. Always happy to connect and discuss interesting data problems.
Experience
Data Conversion Engineer
Sep 2022 — Present · Bengaluru, IN
Education
Delhi Public School Megacity
Higher Secondary, CISCE
Vellore Institute of Technology
B.Tech, Computer Science
2018 — 2022
Columbia University
Master of Science - MS, Data Science
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