I build end-to-end data and machine learning solutions — from data pipelines to modeling, explainability, and dashboards.
Focused on practical, scalable systems using modern data and ML tools.
🔗 NYC Taxi Data Engineering & ML Pipeline
(PySpark • Airflow • Azure • ML Pipeline)
🔗 Sentiment Analysis with Deep Learning
(PyTorch • NLP • CNN/LSTM)
🔗 Seoul Bike Sharing Demand Forecasting
(Python • XGBoost • SHAP • Tableau)
- Data engineering pipelines with PySpark & Airflow
- Applied machine learning & model explainability
- Cloud data platforms (Azure)
- Learning MLOps & production ML workflows
