Computer Science PhD Candidate at Syracuse University
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Graduate student working on machine learning and optimization problems. Previously delivered quantitative machine learning solutions in finance. Interested in Machine Learning (Data) Scientist roles that emphasize AI approaches to solving multidisciplinary problems.
Syracuse University
Doctor of Philosophy - PhD, Computer Science
January 1, 2018 – January 1, 2023
İstanbul Şehir University
Bachelor of Science (B.S.)
January 1, 2013 – January 1, 2018
Syracuse University College of Engineering and Computer Science
Graduate Research Assistant (PhD)
August 1, 2018 – Present
Syracuse, New York Area
OakNorth
Machine Learning Engineer
October 1, 2017 – September 1, 2018
Istanbul, Turkey
İstanbul Şehir Üniversitesi
Undergraduate Research Assistant
August 1, 2015 – January 1, 2016
Istanbul, Turkey
Yıldız Holding
International Operations Intern
June 1, 2015 – August 1, 2015
Istanbul, Turkey
İstanbul Şehir Üniversitesi
Undergraduate Teaching Assistant
February 1, 2015 – May 1, 2017
Istanbul, Turkey
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and some industry experience. The previous ML Engineer role at a London-based bank's AI arm indicates experience in a fast-paced, data-driven environment. The research focus on optimization in neural networks aligns well with advanced ML roles. However, the overall project diversity is not explicitly detailed, and the breadth of skills listed is somewhat narrow, which might impact cultural fit for roles requiring broader ML ecosystem knowledge or diverse project experience.
Soft Skills & Operational Fit
The candidate's experience as a Graduate Research Assistant and Undergraduate Teaching Assistant suggests strong analytical, problem-solving, and potentially mentoring skills. The role at OakNorth indicates an ability to deliver business value and lead development, pointing to good operational fit for a senior role. However, specific soft skill assessments are not available.