Ghasak Ibrahim is a Senior Consultant and research-driven data scientist with 7 years of experience at the intersection of transportation planning, econometrics, and machine learning, currently based in Chiyoda, Japan. He holds a PhD in Transportation Planning and Policies from Nagoya University and brings deep expertise in multi-dimensional time-series forecasting, variance-covariance modeling, and big-data analysis applied to transport systems and travel demand. Proficient across MATLAB, Python, R, C++/C#, SQL, and Bayesian tools like WinBUGS, he translates complex simulation and econometric frameworks into practical forecasting improvements. His background spans academia and industry—from postdoctoral research to consulting at EY and data science work at AlpacaJapan—demonstrating an unusual blend of theoretical rigor and hands-on model implementation. Notably, he focuses on transferring advanced methods between developed and emerging contexts, aiming to strengthen technology and knowledge exchange in transportation analytics.
7 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Civil Engineering, First-class honor, 5th rank out of 144 student, Bachelor's degree, Civil Engineering, First-class honor, 5th rank out of 144 student at Babylon university
Master's degree, Civil Engineering, Transportation and Highway Engineering, 1st class honor, Master's degree, Civil Engineering, Transportation and Highway Engineering, 1st class honor at Babylon University
Doctor of Philosophy (PhD), Transportation Planning and policies, Doctor of Philosophy (PhD), Transportation Planning and policies at Nagoya University
Animation Engine in CPP for handling Dynamics & Kinematics particle movements in 2d and 3d spaces
Contributions:9 reviews, 17 PRs, 60 pushes in 1 year 2 months
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