Projects

INTRODUCTION   The demand for consumer and capital goods has grown steadily in Africa leading to a high dependency on imports from countries like China and the United States. Major African imports, based on current import and export statistics, include automobiles and their spare parts, clothing and other fashion accessories, computers and other IT products, mobile phones, pharmaceuticals, machinery, stationery, and agricultural products. Data shows that in 2021 the United States exports to Africa valued at $26,669 million as against its imports value of $37,561.9 million, indicating a trade imbalance between the U.S and Africa for the year. The United States Census Bureau’s website, where these figures were disclosed, also revealed values of the U.S trade in goods with global partner countries by month from 1997 to date. However, this study is not to examine all branches of foreign trade between the U.S and its partner countries but to focus on analyzing data on U.S imports from...

This project is to predict improper payment of unemployment insurance benefits based on overpayment rate, underpayment rate, and fraud rate. Data used was accessed from the US Department of Labor website.  The dataset shows the amount paid in benefits, amounts overpaid and underpaid, overpayment and underpayment rates, improperly paid rate, the amount overpaid excluding work search, fraud rate for each state in the United States over the third quarter of 2020 through the first quarter of 2021. Since the focus of the project is to predict improper payment rates, the dataset was cleaned to show the payment rates as feature variables and States as the independent variables. The response variable, which is the improper payment rate, is predicted to yield numerical results based off of the overpayment rate, underpayment rate, and fraud rate.  For this predictive analysis, supervised machine learning regression techniques were used.  Necessary package libraries including Pandas...