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1. co2-time-series-forecasting co2-time-series-forecasting Public

   Time series analysis and forecasting of atmospheric CO₂ concentrations using R, STL decomposition, ARIMA models, and temperature anomaly scenarios.

2. credit-risk-prediction credit-risk-prediction Public

   Credit risk prediction in Python using feature engineering, imputation, XGBoost and ensemble models, with a focus on class imbalance and precision–recall trade-offs.

   Jupyter Notebook

3. deep-hedging-2d deep-hedging-2d Public

   Deep hedging of a two-asset product option under correlated geometric Brownian motions using TensorFlow/Keras, Monte Carlo pricing, and out-of-sample hedging analysis.

   Jupyter Notebook

4. forest-cover-type-classification forest-cover-type-classification Public

   Multiclass forest cover prediction using domain-specific feature engineering, LightGBM, XGBoost, ExtraTrees, Optuna optimization, and ensemble learning.

   Jupyter Notebook

5. gdp-per-capita-regression gdp-per-capita-regression Public

   Econometric analysis of GDP per capita using World Bank indicators, OLS regression, model diagnostics, and comparisons of economic and institutional factors.

   R

6. temporal-churn-prediction temporal-churn-prediction Public

   Temporal user churn prediction using behavioral feature engineering, XGBoost, grouped cross-validation, Optuna hyperparameter tuning, and probability blending.

   Jupyter Notebook