Employee Attrition Rate

This project focuses on the total attrition rate of employees in an organization and also gaining insights on the following sections; Department wise, Education, and Gender #People Analytics, #HR Analytics

Customer Churn Rate

Customer churn rate is one of the major challenges faced by most e-commerce sectors. The project focuses on how well customers make use of an online payment platform and the probability of a customer to churn.

RETAIL SALES ANALYSIS

This project highlights SQL techniques used by data analysts to manage and analyze retail sales data. It involves building a retail sales database, performing exploratory data analysis (EDA), and using SQL queries to answer specific business questions

Spotify Dataset Analysis

This project explores a Spotify dataset containing track, album, and artist information using SQL. It demonstrates the full process of normalizing a denormalized dataset, executing SQL queries of varying complexity, and optimizing query performance. The focus is on practicing advanced SQL techniques

Python Data Cleaning

Data Cleaning Master is a Python app that automates dataset cleaning in seconds. It handles duplicates, fills missing numeric values with column means, drops incomplete non-numeric rows, and ensures accuracy at scale—making it a reliable tool for preprocessing in data analysis workflows.

NETFLIX Dataset Analysis

This project comprises of a comprehensive analysis of TV shows and movies data on Netflix using SQL. The goal of this project is to generate valuable insights, performing deep dive analysis and answering various business questions based on the dataset.

Priorities and Affordability

Every household tells a story of trade offs. This report provides valuable insights into how Nigerian households are managing their income, prioritizing essential expenses, and navigating affordability challenges in the current economic climate.