Cyclistic is a bike-share program based in Chicago that provides riders with the convenience of shared bicycles for commuting and leisure. The primary goal of this project was to analyze historical ride data to understand differences between casual riders and annual members. These insights aimed to inform strategies for converting casual riders into annual members.

Visualizing Student Distribution by Housing Type, High School Rankings, and ACT Scores for Actionable Insights. 

Developed a machine learning model to predict the likelihood of floods in Abuja based on annual rainfall data and monthly rainfall patterns. The goal is to aid in disaster preparedness and resource allocation.

This project analyzes global happiness trends using data from the World Happiness Report for the years 2015 to 2017. The goal is to explore the factors contributing to happiness and provide insights into how happiness scores and rankings vary across countries and regions over time.