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Building Transformational AI & ML Products | Applied AI Leader
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & ML leader of global, cross-functional teams. Track record of developing data-driven strategies and delivering high-impact products. Successfully leverages prior experiences as a hands-on data scientist to coach and inspire high-functioning teams.
University of Chicago
Master of Science (M.S.), Analytics
January 1, 2016 – January 1, 2018
Cornell University
Bachelor of Science with Honors, Policy Analysis & Managment
January 1, 2007 – January 1, 2010
Senior Manager, Applied AI
August 1, 2023 – Present
Chicago, Illinois, United States
Vista
Sr. Director of Data Science & Analytics
October 1, 2020 – April 1, 2023
Chicago, Illinois, United States
United Airlines
Director of Data Science & Analytics
May 1, 2016 – September 1, 2020
EXL
Manager
March 1, 2014 – April 1, 2016
Greater Chicago Area
Federal Trade Commission
Economic Analyst
January 1, 2011 – March 1, 2014
Capital One
Business Analyst
July 1, 2010 – January 1, 2011
Report to Congress Under Section 319 of the Fair and Accurate Credit Transactions Act of 2003
December 1, 2012 – Present
I prepared the 2012 FTC report on a national study of credit reporting accuracy (as mandated by Section 319 of the 2003 Fair and Accurate Credit Transactions Act). In response to the press release on report, I also gave multiple interviews (television, radio, print, and blog) and answered detailed questions on the report.
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on leadership and management within large corporate structures, particularly in data science and AI. While their experience is extensive, the target role of 'Software Engineer' might not fully align with their recent senior management focus. The single personal project is policy-oriented rather than software engineering, which limits insight into direct software development cultural fit. The breadth of skills is heavily skewed towards management and strategy rather than hands-on engineering.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and the ability to manage large technical teams. Their experience in driving enterprise-level AI initiatives suggests a good operational fit for roles requiring strategic technical leadership and execution. The project description indicates strong communication skills in public relations and detailed question answering.