Pasha Roberts, Chief Scientist & Co-founder
Pasha Roberts is Talent Analytics, Corp.'s Chief Scientist and Co-founder.
is responsible for strategy around architecture, development, and algorithms for Talent Analytics platform and predictive solutions.
Over a decade ago, Pasha
architected and wrote the first implementation of the Talent Analytics Advisor® software platform.
continues to drive game-changing analytics and technology innovations for the company's solutions.
Broadly acknowledged for his
technical brilliance by his
peers within the data science community and beyond, Pasha
experience and education spanning computing, quantitative, artistic and business categories to keep Talent Analytics
consistently ahead of the curve in the predictive workforce analytics space.
Pasha holds a Master of Science Degree from the MIT Sloan School of Management in Financial Engineering and dual Bachelors degrees in Economics and Russian Studies from The College of William and Mary.
thesis at MIT
prototyped the application of advanced 3D graphics to massive financial "tick" datasets.
is an accomplished entrepreneur, having founded 2 other companies in addition to Talent Analytics, Corp.
After winning MIT's Business Plan contest, he founded WebLine Communications Corporation, a web call-center enterprise software company that was eventually acquired by Cisco.
He also founded Lineplot Productions, a financial visualization/animation service company, where he directed Silver Circle, an animated, feature-length independent film.
Pasha's passion at Talent Analytics
is to drive real business performance using advanced predictive methods, and to connect Talent Analytics data, models and platform to a useful set of additional software platforms.
hopes to discover new information about people and the work they do, with every new project.
is in-demand as a speaker, having presented at major predictive analytics events including INFORMS and Predictive Analytics World
writes extensively on solving complex workforce challenges by applying sophisticated, proven analytical approaches borrowing heavily from other predictive human behavior domains (as diverse as finance, marketing and healthcare).
on twitter @PashaRoberts.