Thanh Dang
Industrial PHD Student at Orange
Lyon, Auvergne-Rhône-Alpes, France
Summary
🤩
Rockstar🎓
Top SchoolThanh Dang is an Industrial PhD student at IMT Atlantique with four years of engineering experience bridging software development, machine learning, and real-world systems. He researches sequential anomaly detection for quasi-periodic time series while bringing practical production experience from internships at SGCIB (building C# microservices and large-scale load testing on Azure) and mobile app development at exo.expert. A strong open-source contributor to scikit-learn, he has improved documentation, fixed clustering and PCA issues, and enabled ARPACK for sparse PCA inputs—work that supports one of the most widely used ML libraries. Trained at INSA Lyon and the University of Passau, he combines top-ranked engineering academics with hands-on tutoring and manufacturing experience, reflecting both technical depth and attention to user-facing clarity. Colleagues describe him as a coder who cares about explainability and robustness, equally at ease with algorithmic details and cloud-native deployment.
4 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at Hanoi University of Science and TechnologyEngineer's degree, Computer Science, 3.72/4.0, Engineer's degree, Computer Science, 3.72/4.0 at INSA Lyon - Institut National des Sciences Appliquées de LyonDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at IMT AtlantiqueHigh School Diploma, Chemistry, 9.5/10, High School Diploma, Chemistry, 9.5/10 at Hanoi-Amsterdam High School for the GiftedMaster of Science - MS, Computer Science, 1.7, Master of Science - MS, Computer Science, 1.7 at University of Passau
English, French, Chinese, Vietnamese, German, Italian
Github Skills (9)
scikit-learn10
scikit10
machine-learning10
python10
data-analysis10
documentation9
pca9
clustering8
sparse-matrix7
Programming languages (4)
Github contributions (5)
scikit-learn/scikit-learn
Feb 2024 - Nov 2024
scikit-learn: machine learning in Python
Role in this project:
Data Scientist
Data ScientistContributions:10 reviews, 11 PRs, 18 comments in 9 months
Contributions summary:Thanh primarily contributed to documentation improvements and bug fixes within the scikit-learn library. Their work involved adding examples and clarifying documentation for machine learning algorithms like PCA, HDBSCAN, and `make_checkerboard`, and addressing issues like in-place modification within the `OPTICS` clustering algorithm. Additionally, the user enhanced the library by enabling the ARPACK solver for sparse inputs in PCA.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
lamdang2k/scikit-learn
Feb 2024 - Nov 2024
scikit-learn: machine learning in Python
Contributions:38 pushes, 17 branches in 9 months
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