Summary
Judy Cha is a tax specialist and data scientist with 11 years of experience blending rigorous financial expertise (CPA, CFA) with machine learning and analytics to improve decision-making across tax, audit, and investment contexts. Her background spans Big Four audit, corporate risk and investment roles at Samsung and POSCO, and a standout DS4A fellowship project that ranked in the top 5 for building ML and NLP models on public health data and scraping over 50,000 observations. She holds an MSA in Accounting and pursued a Master's in Computer Science at Georgia Tech, reflecting a rare combination of deep finance credentials and technical rigor. Known for quietly engineering reliable, auditable solutions—“if you do things right, no one will know you did anything at all”—she thrives on translating complex datasets into actionable financial controls and strategy.
11 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
MSA Accounting, MSA Accounting at Boston College Carroll School of Management