Name: GOODRICH OKORO
Type: User
Company: TelRich Data
Bio: Data Analyst with Python, SQL, Power BI, and Excel. I gather, explore, wrangle and analyze data to produce insights.
Twitter: OkoroGoodrich
Location: Nigeria
Blog: https://medium.com/@okorogoodrich
GOODRICH OKORO's Projects
Predict sales prices and practice feature engineering
Investigated THE MOVIE DATABASE dataset to produce insights and find out the movie with the highest Return of Interest.
Multiple Choice Response Analysis. This project contains insight from Kaggle ML and Data Science Survey that was live from August 7th to August 25th 2018.
This Project implements a Streamlit web application called the "National University Rank App." The app is designed to help high school students and prospective college applicants search for and explore information about universities in the United States.
DA Project 3: Personal Medical Insurance Analysis using SQL Magic on Jupyter notebook.
In this project I played the role of a BI Consultant hired by Plato's Pizza, a Greek-inspired pizza place in New Jersey. I've been hired to help the restaurant use data to improve operations.
A project on product sales. Explore to know which region generates the most sales and least sales, and also know the total purchase value by product
This repo holds cleaning process of the data used in the project, Communicating Data Findings
On-going Project ..........
Trying to use the git command line to run all ALX task
This project is about designing a function that can convert time from one country to another. It also has the ability to let the user know his/her boot camp class in their country time., generating an alert for class within 30min to 1hr.
DA Project 1: Scraped 153 Top Data Analytics Firms from Goodfirms website. This is the first project done in Data Analytics Project Class
Web scraping Webometrics and Wlkilpedia using Python (Beautiful soup and Wptools) to make a list of top 100 Universities in nigeria
This report was curated to aid the firm's principal with her presentation on the state of internet access in the world.
Wrangled WeRateDog Twitter data. Part of the data such as Favorite count and Retweet count was scrapped from Twitter using API (Tweepy).
This is my first repository as a full-stack engineer