Data Science Projects
End-to-end data science case studies focusing on predictive modeling, machine learning, and advanced analytics.
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
An end-to-end machine learning pipeline automating data preprocessing, handling class imbalance, and predicting customer churn.
Home Credit Default Risk
Advanced risk analysis utilizing DuckDB for SQL-based feature engineering and Python for data cleaning and predictive modeling.
Dash Mastery
Complete end-to-end project showcasing the development of an interactive dashboard using Dash, including data preprocessing and deployment.