Mạnh Nguyễn is a data scientist and educator with eight years of experience applying statistical modeling, machine learning, deep learning and reinforcement learning to financial services, recommendation systems and large-scale customer analytics. Based in Ho Chi Minh City, he has driven high-impact projects at Techcombank—boosting CASA acquisition by 1000% and improving operating income through segmentation—and led model development for investor classification, fraud detection and hybrid recommender systems. As a current instructor at Magic Code Institute, he teaches applied Python and risk analytics, translating complex mathematics and optimization techniques into practical business solutions. His background in petroleum engineering and a near-top Master’s in Financial Engineering give him a cross-domain edge for simulation, probabilistic modeling and feature engineering. Colleagues note his curiosity-driven approach to data science, visible in a GitHub persona centered on continual learning and experimentation.
8 years of coding experience
5 years of employment as a software developer
Petroleum Engineering, Petroleum Engineering at Ho Chi Minh University of Technology
Master of Science in Financial Engineering, Financial Engineering, 97%, Master of Science in Financial Engineering, Financial Engineering, 97% at WorldQuant University
Contributions:1 PR, 25 pushes, 1 branch in 1 month
placejavascriptreactstoring
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.