Summary
Varun Agarwal is a data scientist with 11 years of hands-on experience building production-ready data pipelines and ML solutions, currently completing a Master of Engineering at UCLA and working at Angler AI. He combines a double major in Data Science and Economics from UC Berkeley with practical DevOps and full-stack engineering experience gained at Fidelity, Optum, and Allbirds, where his pipelines cut months of manual work and saved substantial costs. Varun blends ML, NLP, and cloud-native tooling—Snowflake, AWS Lambda, Kubernetes, and Jenkins—to deliver automated, explainable models (SHAP, LDA) and scalable infrastructure. He pairs technical depth with strong communication and leadership, having led investor club operations at Berkeley and founded a finance program for middle-schoolers. Passionate about disruptive tech like blockchain and film, he brings interdisciplinary curiosity that surfaces novel product ideas and pragmatic implementations.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Data Science and Economics simulataneous degrees, Bachelor's degree, Data Science and Economics simulataneous degrees at University of California, Berkeley
Del Norte High School
University of California, Los Angeles
English, spanish - california state seal of biliteracy, Hindi