Summary
Daniel Jin is a founder and data leader with a decade of experience building production-grade analytics platforms, ML-driven products, and career-focused edtech. He’s scaled data stacks across government and commercial environments—from FinCEN entity resolution and DoD analytics to Snowflake and dbt architectures that enabled real-time attribution and Customer 360 initiatives. Known for turning proofs-of-concept into acquisition-grade systems, he cut manual workflows by up to 95% and routinely drives cost and latency reductions through custom pipelines and automation. At Datascension he blends technical depth with storytelling and career coaching, designing a story-driven learning game that teaches judgment, communication, and portfolio-ready projects—not just tools. His atypical path from professional gamer and streamer to biostatistics student to data founder gives him a rare combination of resilience, teaching skill, and product intuition.
11 years of coding experience
6 years of employment as a software developer
Data Analyst Nano Degree, Data Analyst Nano Degree at Udacity
Data Science Career Track, Data Science Career Track at Springboard
University of California, San Diego
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at Georgia Institute of Technology
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at The Ohio State University