An aspiring data analyst with experience and skills in Python,
Tableau and Excel. Born in the Eastern Cape, I hold an MBChB and
just completed a BCom in Economics and Statistics degree.
This is a personal project using python to clean data. The dataset is movie data with features such as gross revenue, movie rating, actor and director names.
In this exploratory data analysis project I analyzed IPL match data from the 2022 IPL tournament. In this project we answer such questions as: Which team won the most number of matches? Which player has been awarded player of the match the most? Do captains prefer to bat or field first?
This project was undertaken as part of the Quantify Your Future (QYF) Virtual Internship. The QYF Virtual Internship, presented in partnership with Absa, First Rand, FNB, and Nedbank, provided interns with real world experience focusing on new and emerging careers in the data space. It was part of a broader project to understand customer sentiment around Absa’s brand positioning with regards to innovation.
This is a personal project that entails an analysis of human resources data for a given company. The data consists of employee details which entails their date of hire and termination, reasons for termination; their age, gender and pay rate, among others. From these feautres, using Tableau, I was able to draw some insights about the company.
This project, posed by Nedbank, was part of the QYF Virtual Internship. The task was to develop a model to choose, from a dataset of clients, which clients would receive a payment holiday on their loans. I chose clients who had debt-income ratio greater than 0.36 credit ratio of less than 705 and had never defaulted on their loans. With this model default costs went from R5 949 612,50 on the old process to R883 600 - a 85% reduction.