Dat Le
Singapore, Vietnam
Summary
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RockstarDat Le is a senior data leader with 12 years of experience building analytics, data engineering and ML capabilities across APAC and EU, currently heading People Analytics and enterprise AI adoption at Delivery Hero in Singapore. He has progressed from one-person data teams and early-stage engineering roles to directing data and martech tribes, combining hands-on data science experience at Uber and Zalora with strategic operational leadership. Dat contributes to open-source ML tooling—improving ensemble methods and prediction correlation analysis in the well-regarded MLWave Kaggle-Ensemble-Guide—showing a pragmatic focus on model evaluation and reproducibility. An Oxford computer science master’s alumnus, he is notable for translating advanced data science into scalable business impact across marketing, content GenAI and corporate functions.
13 years of coding experience
Github Skills (6)
pandas10
ensembles10
python10
data-analysis10
machine-learning9
kaggle8
Programming languages (8)
Github contributions (5)
MLWave/Kaggle-Ensemble-Guide
Jul 2015 - Nov 2017
Code for the Kaggle Ensembling Guide Article on MLWave
Role in this project:
Data Scientist
Data ScientistContributions:18 commits, 8 PRs, 1 push in 2 years 4 months
Contributions summary:Dat primarily contributed to the project by improving existing code and adding new functionality for ensemble methods. They focused on refactoring and standardizing the code style across multiple files related to ensemble techniques such as averaging, voting, and geometric mean calculations. Additionally, the user added a script to calculate correlations between prediction files, enhancing the project's analytical capabilities for model evaluation.
kaggle
lenguyenthedat/kaggle-for-fun
Dec 2014 - Oct 2017
All my submissions for Kaggle contests that I have been, and going to be participating.
Contributions:107 commits, 4 PRs, 77 pushes in 2 years 10 months
kagglexgboostpythonmnistneural-network
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