My-Portfolio

Akintunde Rockson

A few of the Data Science/Analytics projects I’ve been working on. Click on the title to see the full project.

Project 1: Predicting Soccer Players’ Transfer Value

This project focuses on predicting soccer players’ transfer values to determine which players are overvalued, undervalued, or appropriately valued. To do this, data was scraped, cleaned, and analyzed from a soccer video game’s dataset to create a table suitable for building multiple regression models to find the best predictor for what a player’s value should be.

Language(s): Python

Project 2: Analyzing the Top 50 Solar Flares

This is a project that involves web scraping information from the NASA and SpaceWeather websites about the top 50 solar flares ever observed, and combining data from the two sources in order to integrate and investigate both datasets while also trying to accurately replicate information about these happenings.

Language(s): Python, SQL

Project 3: Visualizing the Employees database

This mini project combines SQL and Tableau to produce interactive data visualizations that can provide various insights on the public mySQL employees database as can be seen from the link in the title. Here is the code in SQL that was exported into a CSV file which was used in Tableau

Language and Technology used: MySQL, Tableau

Project 4: Statistical Analysis of a Survey with SAS

In this project, I’ll explore whether a person’s preferred sport is influenced by aspects like race, shoe size, height, and gender. I’ll also look into whether a person’s height and shoe size are related.

Language(s): SAS

Project 5: Moneyball

This project utilizes methods such as data wrangling and exploratory data analysis to explore how efficient baseball teams, especially the Oakland A’s, have been historically at spending money and getting wins in return.

Language(s): Python