Director of Data Science at Boosted.ai
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My background is in Computer Vision, and I now primarily work on applications of machine learning for the financial sector. I currently serve as Director of Data Science at Boosted.ai, an artificial intelligence company that enhances portfolio management outcomes for the global financial industry through distributed machine learning. The company’s platform, Boosted Insights, brings advanced quantitative investing techniques to portfolio managers, without requiring any coding or data science background.
The University of North Carolina at Chapel Hill
BS, Computer Science
N/A – Present
University of Illinois Chicago
MS, Computer Science
N/A – Present
Boosted.ai
Director of Data Science
May 1, 2019 – Present
New York City Metropolitan Area
Bloomberg
Team Lead/Researcher - Pattern Recognition Team in the ML Group
March 1, 2010 – April 1, 2019
NYC
UIC
Research Assistant
January 1, 2005 – January 1, 2009
Cultural Fit Analysis
The candidate has a strong background in research and development within large organizations (Bloomberg) and a startup (Boosted.ai). While the experience is highly technical and leadership-oriented, the target role is 'Data Analyst'. This represents a significant mismatch in seniority and scope. The candidate's experience is more aligned with a senior Data Scientist, ML Engineer, or Data Science Lead role rather than an individual contributor Data Analyst role. This mismatch could lead to dissatisfaction or overqualification for the target role.
Soft Skills & Operational Fit
The candidate's experience as a Director and Team Lead suggests strong leadership, project management, and potentially team collaboration skills. The description of prototyping and then implementing production code indicates a practical, results-oriented approach. However, specific details on communication, stress handling, or direct team collaboration are not provided in the given data.