DS · BA · UC ’27

Quang Minh Vu

Building pipelines, training models, publishing research. At the intersection of data engineering, business analytics, and decision science.

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Databricks*SnowFlake*Agentic AI*Sparks*Python*SQL*Prompt Engineering*LLMOps*Multimodal Models Databricks*SnowFlake*Agentic AI*Sparks*Python*SQL*Prompt Engineering*LLMOps*Multimodal Models
Selected Projects
01
Self-Play Chess Engine
Built a deep reinforcement learning chess engine from scratch using Monte Carlo Tree Search and a custom ResNet policy-value network. Trained via GPU-batched self-play on an A100 — exposing the gap between self-play metrics and real-world performance.
PyTorchMCTSReinforcement LearningPython
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On Going
ML Research
 02
Uplift Modeling for Customer Churn
Estimated Conditional Average Treatment Effects (CATE) via S/T/X-Learner meta-learners to surface persuadables for targeted retention campaigns. Evaluated with Qini curves (AUUC), explained with SHAP, and tracked in MLflow — benchmarked against a synthetic RCT on the IBM Telco dataset.
CausalMLXGBoostSHAPMLflowPython
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2025
Causal ML
 03
Project Title
Third project. Keep it short. The work speaks for itself.
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2024
Type
 04
Project Title
What it is, what it does. Nothing more.
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2024
Type
Publications
MCDM Methodology Benchmarking: TOPSIS, VIKOR & AHPPublished
Engineering, Technology & Applied Science Research · Vol 15, 2025 · arXiv:2509.08451
2025
Bank Financial Performance Case Study via MCDMPublished
Engineering, Technology & Applied Science Research · arXiv:2509.08187
2025
Multi-Criteria Decision-Making: Comparative AnalysisPeer-reviewed
Co-authored · MCDM Methodologies Series
2024
About

I'm a researcher and builder based in Cincinnati. My work focuses on data engineering, machine learning, and decision science.

Currently pursuing an M.S. in Business Analytics at the University of Cincinnati.

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