I will build predictive models and end-to-end data science pipelines for classification, regression, segmentation, or forecasting using Python.
Tech Stack:
• Languages: Python
• Libraries: scikit-learn, XGBoost, LightGBM, CatBoost, Statsmodels
• Forecasting: Prophet, ARIMA, LSTM
• Data Tools: Pandas, NumPy, SQLAlchemy
• Visualization: Matplotlib, Seaborn, Plotly
• Evaluation: AUC, F1, MSE, cross-validation, SHAP
• Notebooks: Jupyter, VSCode
Deliverables:
• Data profiling, outlier & correlation analysis
• Model development and validation
• Feature engineering (numeric, categorical, temporal)
• Hyperparameter tuning and model interpretation
• Dashboard or notebook for business stakeholders
• Full codebase and report