Coltrane35

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Grzegorz Coltrane35

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Data Scientist | Machine Learning | CatBoost, Python Building end-to-end ML pipelines for predictive analytics & real-world problems

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Coltrane35/README.md

👋 Hi, I'm Grzegorz

I’m a Data Science practitioner focused on predictive analytics and machine learning for tabular data.

I work mainly on:

customer churn prediction
classification and regression problems
business-oriented machine learning models

I care about:

clean data pipelines
reproducible experiments
practical model evaluation (ROC AUC, F1, RMSE)

🛠 Tech Stack

Python
Pandas, NumPy
Scikit-learn
CatBoost
MLflow

📂 Selected Projects

Customer Churn Prediction – CatBoost classifier with threshold tuning
Student Test Score Prediction – Regression model (Kaggle Playground Series)

📫 Open to freelance and collaboration opportunities.

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playground-churn-project playground-churn-project Public

Customer churn prediction using CatBoost with a complete machine learning pipeline.

Python
kaggle-playground-s6e1-student-test-scores kaggle-playground-s6e1-student-test-scores Public

Kaggle Playground Series S6E1 – regression model for student exam score prediction.

Python
predicting-loan-payback predicting-loan-payback Public

Production-ready machine learning pipeline for loan repayment prediction using CatBoost with cross-validation and model evaluation.

Python
customer-lifetime-value-retail customer-lifetime-value-retail Public

End-to-end Customer Lifetime Value (CLV) prediction pipeline using RFM analysis and CatBoost

Python