I build resilient data ecosystems and turn complex datasets into actionable business strategies. Currently pursuing an MSc in Computer Science at Mahidol University, my technical focus lies at the intersection of Data Engineering and Machine Learning Operations (MLOps), specifically researching model drift in production environments.
Location: Bangkok, Thailand
✓ Data Cleaning & EDA ✓ Predictive Modeling & Forecasting
✓ Customer Segmentation & Clustering ✓ Recommender Systems
✓ A/B Testing & Statistical Analysis ✓ ETL Pipelines
|
Analyzed multi-stock trends to compare volatility, correlations, and risk/return patterns with clear visualizations Tech Stack:
|
End-to-end analytics using RFM segmentation to identify high-value customer groups and targeting strategies Tech Stack:
|
|
Content-based recommender generating "similar title" suggestions using text and metadata signals Tech Stack:
|
Comparative analysis of Apple Watch vs Fitbit data to surface behavioral trends and build predictive health models Tech Stack:
|
|
Time-series forecasting using engineered technical indicators and deep learning architectures Tech Stack:
|
Integrated real-time air quality and weather APIs to identify PM2.5 risk patterns in Bangkok Tech Stack:
|
| Area | Description |
|---|---|
 |
Drift Shifting in MLOps - Advanced research in machine learning operations |
 |
Writing technical articles on data science and machine learning |
 |
Creating educational vlogs documenting my learning journey |
 |
Deep diving into advanced architectures on GCP and Azure |
I'm always excited to collaborate on data science projects, discuss ML trends, or chat about tech!
From NusratBegum | Bangkok, Thailand | Let's build something amazing with data