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Project
completed
2025
VN Bank Stock Analytics
Time-series forecasting and decision support with multi-source data
Data Mining project building a multi-source analytics pipeline for Vietnamese banking stocks. Performed feature engineering for time-series, trained models for return regression and risk forecasting, and summarized insights for investment decision support.
AI/ML
Finance
Time-series
Developer
Analyst

Timeline
2025
Type
Project
Status
completed
Outcome / Impact
- •Return regression achieved MAE 0.0938 and RMSE 0.1189
- •Risk forecasting achieved correlation 0.9808 (pred vs actual)
Tech / Skills
Python
XGBoost
Time-series
Feature Engineering
Case Study
1) Context / Problem
What problem were you solving? Why does it matter?
2) Your Role
Responsibilities, decisions you owned, stakeholders.
3) Approach
Method, experiments, architecture, or research design.
4) Result / Impact
Metrics, rankings, adoption, business outcome.
5) Learnings
What you’d repeat or change next time.
6) Links
See links above.