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VP of Engineering at WattTime.org
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Cambridge
Mathematics
January 1, 2008 – January 1, 2009
Massachusetts Institute of Technology, MIT
Bachelor of Science, Mathematics
January 1, 2006 – January 1, 2010
WattTime.org
Vice President of Engineering
March 1, 2022 – Present
WattTime.org
Senior Data Scientist
October 1, 2019 – March 1, 2022
Sonder Inc.
Machine Learning Engineer
November 1, 2018 – April 1, 2019
San Francisco Bay Area
Gladly, Inc.
Software Engineer, Machine Learning
September 1, 2017 – June 1, 2018
San Francisco Bay Area
Farmer's Business Network, Inc.
Data Scientist
July 1, 2016 – September 1, 2017
San Carlos, CA
Self-Employed
Freelance Developer
October 1, 2014 – July 1, 2016
MIT Lincoln Laboratory
Algorithm Developer (Python)
June 1, 2011 – December 1, 2013
Lexington, MA
EMC
Business Analyst Contractor
November 1, 2010 – May 1, 2011
Hopkinton
Self-Employed
Tutoring and Test Prep
August 1, 2010 – May 1, 2011
Cambridge, MA
Massachusetts Institute of Technology
Grader - Differential Equations
September 1, 2009 – May 1, 2010
Massachusetts Institute of Technology
Undergraduate Research Volunteer
September 1, 2009 – December 1, 2009
Massachusetts Institute of Technology
Undergraduate Researcher
December 1, 2007 – April 1, 2008
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards data-driven roles and technical leadership. Their experience at WattTime.org (a non-profit) and focus on optimizing resources (Naval, commodity markets) suggests an interest in impactful work. The breadth of roles and industries (tech, agriculture, defense) indicates adaptability. However, the recent VP of Engineering role might suggest a higher-level strategic focus than a pure Data Analyst role, which could be a mismatch if the target role is primarily execution-focused.
Soft Skills & Operational Fit
The candidate's experience as a Vice President of Engineering and leading internal meetups suggests strong leadership, mentorship, and communication skills. Their work on optimizing operations and streamlining reporting indicates a focus on efficiency and practical problem-solving. The diverse roles from algorithm developer to data scientist and engineering VP suggest adaptability and a broad operational fit.