Fired CEOs/Founder

This project aims to provide reasons why CEOs/Founders get kicked out of their own company by considering some important data point. The purpose is to provide answers to some questions like: do these people do after getting kicked out? how do they feel? what's the public opinion? and lots more.

Top U.S. Companies by Revenue

Web-scrapping a table containing list of the largest companies in the United States by revenue. Creating a dashboard featuring charts count by industry, revenue, no. of employees, etc. prioritizing the top and bottom 10 for a converging datapoint. Generating quality insights from the scrapped data.

CGPA calculator

A CGPA calculator that returns user's Cumulative Grade Point Average after taking in the number of courses, courses name, number of units, and the grade gotten in terms of (A-5, B-4, C-3, D-2, E-1, F-0). There is also a customized message at the end to display department, faculty and name of user.

Bike Sales

An analysis to determine some demographic info about a large number of bike purchasers featuring their income range, marital status, education, region, and commute distance. This would help the company make better decision in stocking their bike stores considering the insights from this analysis.

Top Web3 Cities in the World by Job Posting (Web-Scrapped)

An analysis of the top web3 cities in the world as provided by Web3Career at https://web3.career/web3-cities. Using Python's BeautifulSoup, Request & Pandas, the table containing the list was scrapped and saved from the web. The dataset was, in turn, cleaned and visualized using Microsoft Excel.

List of Web3 VCs

Data gotten from Kaggle. Utilized Microsoft Excel to clean the data before visualizing it on the same software. Analysis was done to show the top Web3 VCs by score, diamond hands, value added, and category of VCs. The dataset shows that the dominating category is simply VC - those interested in all.

Data Professional Survey Breakdown

An analysis on data professionals Key insights: Of the 630 survey takers: || Data Scientists earn way above every other data professionals, Data Engineer and Architect follows. || Most professionals have an average of 5.74 work-life balance while an average of 4.27 are happy with...

Data Professional Salaries across the Globe

This analysis is considering the salary earned by different data experts alongside their job details like experience level, company size, employment type and the working culture of their company. This particular analysis is really a great pointer to the fact that "Data is the new oil".

Analysis on Engineering Students Stress Factors

This report analyzes data collected from engineering students regarding their sleep quality, headaches, academic performance, study load, extracurricular activities, and stress levels. The dataset aims to uncover potential correlations between these factors and their impact on student well-being.