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Co-founder & CTO @Fabi.ai | Collaborative, AI-first platform for data analysts
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A leader and innovator with strong expertise in machine learning, data science, AI and system scalability. Passionate about data, problem solving, innovation and business impact.
Fudan University
BS, Computer Science
N/A – Present
Arizona State University
PhD, Computer Science and Engineering
N/A – Present
Fabi.ai
Co-Founder & CTO
February 1, 2023 – Present
San Francisco Bay Area
Lyft
Director, Data Science
April 1, 2018 – December 1, 2022
Clari
Chief Data Scientist
January 1, 2014 – January 1, 2018
@WalmartLabs
Principal Data Scientist
June 1, 2012 – July 1, 2014
Yahoo! Labs
Scientist
August 1, 2010 – January 1, 2012
Yahoo!
DMR Research Intern
June 1, 2008 – August 1, 2008
AOL
Intern
May 1, 2005 – August 1, 2005
Cultural Fit Analysis
The candidate has a strong background in leadership and innovation, having co-founded a company and held Director/Chief Data Scientist roles. This indicates a proactive and influential approach. The diverse experience across startups (Clari, Fabi.ai) and large corporations (Lyft, WalmartLabs, Yahoo!) suggests adaptability. However, the target role of 'Data Analyst' might be a significant step down from their extensive leadership and strategic data science roles, potentially leading to a mismatch in expectations regarding scope and responsibility. While the technical skills are highly relevant, the career trajectory points towards more senior, strategic, and leadership-oriented positions.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and strategic involvement, particularly in defining product strategy and building data science teams from the ground up. Experience as a Co-Founder & CTO suggests entrepreneurial drive and operational understanding. The descriptions highlight problem-solving, team management, and driving revenue growth through data science initiatives.