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Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Binghamton University
Doctor of Philosophy (Ph.D.), Electrical Engineering
January 1, 2010 – January 1, 2017
University of Chinese Academy of Sciences
Master’s Degree, Microelectronics and Solid State Electronics
January 1, 2007 – January 1, 2010
Huazhong University of Science and Technology
Bachelor’s Degree, Electronic Science and Technology
January 1, 2003 – January 1, 2007
HealthEquity
Principal Data Architect
August 1, 2025 – Present
Wells Fargo
Senior Lead Data Scientist
March 1, 2023 – August 1, 2025
Visa
Data Scientist - Sr Consultant
February 1, 2022 – March 1, 2023
Foster City, CA
Visa
Sr. Cybersecurity Engineer
April 1, 2019 – February 1, 2022
Foster City, CA
Trustlook AI Cybersecurity
Artificial Intelligence/ Machine Learning Engineer
July 1, 2017 – April 1, 2019
San Jose, CA
GIAC Security Essentials Certification (GSEC)
GIAC Certifications
June 24, 2026 – Present
Self-Driving Car Engineer
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across cybersecurity, data science, and AI/ML, coupled with a strong academic background, suggests an individual who is adaptable and capable of thriving in various technical environments. The progression through different companies and roles indicates a drive for growth and new challenges. The certifications also show initiative beyond formal employment. The target role of ML Engineer aligns well with their recent and past experience, indicating a good fit for a technically demanding and innovative culture.
Soft Skills & Operational Fit
The candidate's progression through senior roles (Sr. Consultant, Senior Lead, Principal) suggests strong leadership potential and the ability to manage complex projects. The transition from Cybersecurity Engineer to Data Scientist roles indicates adaptability and a proactive approach to career development. However, without specific project details or behavioral assessment data, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication clarity in a professional context.