
Sakib Al Hasan
Data Scientist and Machine Learning
Habilidades

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Portfólio
Experiência profissional
Independent Projects
Freelance • Autônomo
Mar 2026 - Present • 8 mos
Building end-to-end data science and machine learning projects, published on GitHub with full documentation. • Telco Customer Churn Prediction: Cleaned and analyzed customer data, then built a tuned Logistic Regression model (0.844 ROC-AUC, 77% churn recall) to identify customers likely to leave. • Customer Segmentation (K-Means & DBSCAN): Grouped credit card customers by usage behavior using clustering, and deployed an interactive Streamlit app. • Insurance Charges Regression: Predicted insurance costs with an XGBoost + scikit-learn pipeline, and explained results using SHAP. Tools: Python, Pandas, Scikit-learn, SQL, Excel, Streamlit, GitHub. Skilled in data cleaning, exploratory data analysis, data visualization, and predictive modeling.