Data Science | Economics | Finance

This analysis aims to help General Insurance, a fictitious company, better understand its customer base by identifying customer types, assessing risk levels, pinpointing consistently high-risk profiles, and developing a model to predict quote amounts and improve risk assessment.

The aim of this project is to offer consumers personalized movie suggestions based on movies they have already watched. The system makes recommendations for movies that are likely to interest each user using collaborative filtering processes.

This is an exploratory analysis of failed banks in the United States using SQL queries.

This Excel project focuses on analyzing the impact of COVID-19 on the Nasdaq Composite performance.

This project demonstrates the value of text analytics on review data to derive insights about brand reputation and the connection between qualitative reviews and quantitative ratings.

In this project, logistic regression was employed for diabetes analysis. The analysis was conducted using Python for modeling and insights.