Chaipat Nengcomma
Data Scientist
Bangkok, Thailand
Summary
👤
Senior🎓
Top SchoolChaipat Nengcomma is a data scientist and quantitative researcher with nine years of experience developing algorithmic trading systems and machine learning models from Bangkok. He blends strong quantitative math skills with hands-on engineering in Python, R and C++, and production data stores like PostgreSQL and MongoDB to deliver ML-driven trading strategies and option pricing using QuantLib. His background spans classical and deep learning techniques—Decision Trees, GBM, neural networks and deep learning—integrated with trading platforms including Interactive Brokers API, TWS and MQL4/5. Chaipat also applies AI R&D to smart farming through his independent venture, reflecting a practical focus on real-world deployment beyond finance. An active researcher, he documents his quantitative work and experiments on his research blog, signaling a habit of marrying academic rigor with production-ready systems.
9 years of coding experience
Master's degree, Master's degree at Chulalongkorn University
Github Skills (5)
gpx6
crowd5
version-control5
gis4
python4
Programming languages (1)
Github contributions (5)
chaipat-ncm/learn2trade
Jun 2017 - Dec 2019
Contributions:36 commits, 36 pushes, 3 branches in 2 years 6 months
chaipat-ncm/pythonGIS
May 2019 - Aug 2019
Python Opensource GIS 2019
Contributions:42 commits, 41 pushes, 1 branch in 2 months
pythonversion-controlgpxcrowdgis
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