Summary
Ignat Kulinka is a data scientist with eight years of analytical experience who applies statistics, machine learning, and strong R/Python/SQL skills to turn messy, large-scale datasets into actionable insights. With a Summa Cum Laude B.S. in Statistics from UCLA and an MS in Statistics from UC Davis, he has delivered complex regression analyses and bespoke visualizations for high-stakes litigation and enterprise clients. At Ankura he led data wrangling and reproducibility efforts on multi-million-row projects and presented advanced R scripting techniques to peers; he now advances analytic products at Quantifind. Known for practical sampling designs and critical review of expert reports, he blends rigorous statistical reasoning with clear communication to counsel and stakeholders. Based in Davis, CA, he combines academic depth with hands-on production experience spanning internships at NBCUniversal to current work deploying data-driven solutions.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of California, Davis
Associate of Science (A.S.), Mathematics, 3.93, Associate of Science (A.S.), Mathematics, 3.93 at Foothill College
Bachelor of Science (B.S.), Statistics, 3.97, Bachelor of Science (B.S.), Statistics, 3.97 at University of California, Los Angeles
Russian, English