Summary
Daniel Yoo is a founder and data scientist with a decade of experience building predictive analytics, forecasting systems, and AI-driven products for enterprise and startup environments. He has led data initiatives at Microsoft predicting Azure demand, built production forecasting and recommendation systems at Homes.com, and architected cloud data infrastructure and ML workflows for a mid-market company generating ~$10M annual sales. As an educator he has taught machine learning and applied analytics at Columbia, World Quant University, and other institutions, bridging academic rigor with production practice. Currently he runs 3PeakAnalytics and a stealth startup focused on product-market fit and educational products, combining hands-on modeling with go-to-market research. His background spans econometrics, time series, NLP and deep learning, and he frequently turns research-grade models into monthly production pipelines and user-facing dashboards. Collected graduate degrees in statistics, economics and quantitative finance underscore his quantitative depth and cross-domain perspective.
10 years of coding experience
7 years of employment as a software developer
Masters Statistics, Masters Statistics at American University
Masters Quantitative Finance, Masters Quantitative Finance at Fordham Gabelli School of Business