Temi's Portfolio

Highly analytical and process-oriented data analyst with two years of experience in deep-diving into a large volume of data to extract insights and drive business effectiveness through making recommendations based on the data findings. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency. Proficient in Spreadsheets, SQL, Python and Tableau .

LOAN APPROVAL OR DENIAL: DATA MINING APPROACH

In this project, I explored and analyzed a loan dataset from the U.S. Small Business Administration (SBA) to predict whether a customer's loan should be approved or denied using different statistical models and selected the best model using a scoring model in SAS Enterprise Miner Workstation 14.3. This project was one of my projects with two other team members during my graduate studies.