Guven Kaya
Team Lead Lead Machine Learning Scientist Lead Operations Research Scientist @SafeRide Health
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WORK HISTORY
Team Lead Lead Machine Learning Scientist Lead Operations Research Scientist @SafeRide Health
Austin, TX, US
Leading Algorithms & Machine Learning Team on 2 Projects: Provider Assignment and Vehicle Routing Algorithms· Leading / Designing / Building Provider Assignment Algorithm (versions 2.0 and currently 3.0) to assign medical transportation providers (NEMT (Non-Emergency Medical Transportation) and ride-share) to patient rides, with Optimization, Metaheuristics, and Machine Learning Algorithms (in Python)· Managing / Executing Vehicle Routing Problem with Time Windows (VRPTW), with pgRouting (in C++) · Utilizing Docker container platforms, PostgreSQL, JavaScript Object Notation (JSON), and Amazon Web Services (AWS) for lambda functions, s3 file management, data retrieving (SQL) and automation in all projects· Supervising algorithms on integrated technology platform to centralize healthcare providers, fleet owners, drivers and healthcare plan members
EDUCATION
Işık Üniversitesi
Bachelor of Science (B.Sc.), Computer Engineering
Burak Bora Anadolu Lisesi
High School, Science-Mathematics
Texas A&M University
Master of Engineering (M.Eng.), Industrial and Systems Engineering
University of Houston
Doctor of Philosophy (Ph.D.), Industrial Engineering
Işık Üniversitesi
Bachelor of Science (B.Sc.), Industrial Engineering
Koç University
Master of Science (M.Sc.), Industrial Engineering
SKILLS
ABOUT GUVEN KAYA
16 years experience in Model Development, Algorithm Design, and Analyzing Large Scale Systems with Complex Problems- Proficient in using Operations Research techniques such as Linear Programming, Mixed Integer Programming, Non-Linear Programming, Meta-heuristics, and Robust Optimization methods- Persevering, self-motivated and analytical thinker with Ph.D. degree in Industrial Engineering-Operations Research, and B.S. degree in Computer Sciences- Professional in: C/C++, Python, CPLEX (Concert technology), Gurobi, Xpress, GAMS, SQL Server, GIT, Agile Development, ML Libraries (Pandas, Scikit-Learn, SparkMLLib, Numpy, Pyomo, PuLP)
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