Greater Boston
Hello! My name is Steven. I'm a Sophomore at Harvard studying CS and Applied Math with a concurrent master's in Statistics, and I build things across the full tech stack: engineering, DevOps, AI/ML, quant, and product. I'm broadly interested in tech, finance, data, and entrepreneurship. I would love to chat, so let's connect!
Aquent Scout - Global Business Services, Tech & Innovation, Analytics
• Built live ML analytics (custom neural net + distance-based clustering) classifying round-opening strategies, powering esports broadcasts averaging 140K+ concurrent viewers. • Engineered an ETL pipeline converting event-based GRID match telemetry into a schematized format, cutting manual data-prep time by ~60% and unblocking downstream modeling. • Linked map-control patterns to win-rate outcomes; research targeted for presentation to MIT Sloan.
(Oracle Opower) Develop customer engagement strategies using appliance-level energy insights to support demand-response and peak-reduction initiatives; leading user research synthesis, product requirement development, and wireframing efforts to translate behavioral data into scalable product recommendations and measurable energy impact.
Selected to lead weekly sections and office hours for ~500 students in Harvard's flagship probability course STAT 110 (Prof. Joe Blitzstein), covering distributions, conditioning, MGFs, and Markov chains.
(World Health Organization) Performed OLS regressions and stochastic modeling along with other econometric and machine learning methods on total and governmental inpatient and outpatient care pricing/costs using private and public utilization and self-constructed panel data.