Achievements
UNITY 14 – Data Mining
Proposed a Siamese DINOv2 Dual-Head architecture with self-supervised feature extraction and difference-based temporal fusion for bitemporal satellite building damage assessment on xBD dataset. Achieved 84.65% Damage F1 (+6.73% over baseline).
AXION 2025 – Data Science
Engineered an autoregressive rolling-forward ensemble (CatBoost, LightGBM, XGBoost) using time-series lags, physical/chemical sensor interactions, and temporal cyclical encoding for water turbidity prediction. Achieved 1st place on 14,600+ test samples (311.159 Private / 305.022 Public LB).
ACTION 2024 – Data Mining
Engineered a LightGBM gradient boosting pipeline for global air quality prediction using WHO environmental datasets across 7,100+ monitoring sites. Achieved 1st place with 0.9558 Public / 0.9445 Private score.