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Data Science Projects Overview

Welcome to the Data Science section of my portfolio. Here, you will find comprehensive, end-to-end data science case studies focusing on predictive modeling, machine learning, and advanced analytics.

In this section, I have meticulously documented the entire data science workflow, from problem definition and data collection to feature engineering, model development, and evaluation. Each project is designed to demonstrate my ability to apply data science techniques to real-world problems, showcasing my proficiency in Python, SQL, and various machine learning libraries.

Highlighted Projects

  • Telco Customer Churn Prediction

    A deep dive into sales performance, regional analysis, and macro trends resulting in a fully interactive executive dashboard.

    Python Machine Learning Scikit-learn

    Read Full Documentation ➜

  • Home Credit Default Risk

    Advanced risk analysis utilizing DuckDB for SQL-based feature engineering and Python for data cleaning and predictive modeling.

    DuckDB SQLPythonMachine Learning Data ModelingPredictive Statistics