WeRateDogs

The objective of this project was to collect, manage, and analyze the tweet archive of the renowned Twitter user @dog_rates, popularly known as WeRateDogs. This involved extensive data wrangling, which included accessing and cleaning the data to enable efficient analysis and visualization

The Ford GoBike Dataset System

This project involved analyzing information about bike rides made on a bike-sharing system in the greater San Francisco Bay area during the year 2019. The aim to gain insights into the patterns of bike usage, such as peak usage times, popular routes, and the demograhic profile of riders

Loan Prediction

The aim of this project is to automate the loan eligibility process in real-time using customer information provided on an online application form. The information collected includes gender, marital status, education, dependents, income, loan amount, credit history, and other details.

The FIFA World Cup Matches

The dataset contains information about all the matches played in the FIFA World Cup from 1930 to 2014. The dataset includes details such as the date, location, teams, scores, and other relevant information for each match.

Medical Appointments Show/No-show

The focus of this project is to analyze a dataset of more than 100,000 medical appointments in Brazil. The aim is to extract various insights and draw meaningful inferences regarding the factors that influence patients' attendance at appointments.

The World Happiness Report

This project analyzes the Kaggle World Happiness Report, which is a survey that ranks countries according to their happiness levels using data from the Gallup World Poll. The report provides rankings and scores for 155 countries based on the Cantril ladder, which is a main life evaluation question

Comparative Analysis of Consumer Price Inflation Rates in Nigeria and Other Countries Using Web Scraping

The project below demonstrates how I used web scraping to compare the inflation rate for consumer prices in Nigeria during the previous five years to those in other nations.

GoDaddy - Microbusiness Density Forecasting

This project is part of a Kaggle competition that was undertaken during my KaggleX Bipoc mentorship program. The goal of the competition was to develop a model for forecasting microbusiness activity across the United States, as measured by the density of microbusinesses in US counties.

Sales Report Dashboard

The objective of this project is to enhance business performance by conducting an in-depth analysis of sales data and customer trends

Analysis of sample WAEC Results with SQLite and Python

This project involves analyzing WAEC (West African Examinations Council) results using SQLite and Python. The project uses Python's CSV module to read data from a CSV file, creates a table to store the data, and then performs various SQL queries to extract meaningful information from the dataset.