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Postdoc Fellow at Harvard Business School | Incoming AP at ETH Zurich | PhD in Operations Research & Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
https://nitu.mystrikingly.com/
National University of Singapore
PhD, Operations Research & Analytics
January 1, 2018 – January 1, 2023
UC Berkeley College of Engineering
Master, Industrial Engineering & Operations Research
January 1, 2016 – January 1, 2017
Zhejiang University
Bachelor, Mathematics & Applied Mathematics
January 1, 2012 – January 1, 2016
Harvard Business School AI Institute
Postdoctoral Research Fellow
October 1, 2023 – Present
Boston, MA
S.F. EXPRESS CO. LTD
Operations Research Engineer
August 1, 2017 – July 1, 2018
Shenzhen, Guangdong, China
University of California, Berkeley
Research Assistant in Berkeley Artificial Intelligence Research Lab
February 1, 2017 – August 1, 2017
Machine Learning at Berkeley
Research Assistant in Machine Learning at Berkeley
September 1, 2016 – February 1, 2017
University of California, Berkeley
Research Assistant in Berkeley Enviroment and Renewable Energy Lab
September 1, 2016 – December 1, 2016
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with significant experience in universities and research labs. While this demonstrates strong analytical rigor, the direct cultural fit for a typical corporate Data Analyst role, which often requires more collaborative project work and business-oriented communication, is not clearly established. The projects are diverse in application (logistics, energy, AI), indicating adaptability to different problem domains.
Soft Skills & Operational Fit
The candidate's background in research and operations suggests strong analytical thinking, problem-solving, and potentially independent work capabilities. However, specific soft skills like teamwork, communication, and adaptability in a corporate setting are not explicitly detailed in the provided data.