Credit Card Approval Prediction

Develop a Logistic Regression model using Python for predicting credit approval. Targeted at financial institutions, the model enhances decision-making by determining whether credit requests should be approved or denied, based on historical data and features.

Customer Churn Analysis with Tableau

Employing Tableau, this project delves into customer churn patterns. Through interactive visualizations, it uncovers insights from diverse data sources, aiding businesses in understanding factors contributing to churn and making informed decisions to retain valuable customers.

Analysis On Baseball

Using Python and Jupyter Notebook, this data analysis project focuses on dissecting the performance of baseball players Giancarlo Stanton and Aaron Judge. By examining batting statistics, trends, and player comparisons, the project aims to give insights into their contributions to the team's success

Data Analysis on Best Selling Video Game Using SQL

In this SQL-based project, I explore and analyze data from video game sales to identify the best-selling titles. By querying databases, I examine factors like sales volume, genres, platforms, and release years. Utilizing SQL's analytical capabilities, I uncover trends, insights, and patterns that in