Summary
Jinhan Zhao is a data-focused engineer combining dual MS degrees in Quantitative & Computational Finance and Computational Science & Engineering from Georgia Tech with 11 years of technical experience. At Georgia Tech he teaches big data analytics, guiding students on Hadoop, Spark, Hive, and ML frameworks while also supporting research IT infrastructure. His industry work spans model risk analysis at Ameris Bank—where he integrated NLP and automated validation pipelines—and data science roles that delivered measurable business impact through Power BI dashboards and automated ETL. Comfortable across Python, R, SQL, Tableau and Power BI, he excels at turning messy, large-scale datasets into robust models and operational dashboards. Beyond analytics, he has hands-on research experience in microfluidics and contributes to a CTF team, signaling practical problem-solving and curiosity in security challenges. He is actively seeking analytics internships to apply his blend of quantitative modeling, engineering, and risk-aware deployment skills.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Computational Science and Engineering, Master's degree, Computational Science and Engineering at Georgia Institute of Technology
Bachelor's degree, Physics, 4.24, Bachelor's degree, Physics, 4.24 at Georgia State University
Master's degree, Quantitative and Computational Finance, Master's degree, Quantitative and Computational Finance at Georgia Tech Scheller College of Business
Chinese