Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1


Customer Churn Prediction
 Machine Learning (ANN)
•	Built a model that could predict customer churn for a bank using Artificial Neural Networks and in the long-run know which clients were at risk of leaving the bank.

Standard Bank 
 Data Science (virtual internship)		
•	Implemented a model that predicts whether a potential borrower will default on his or her loan or not. 
•	Used machine learning to evaluate an applicant’s worthiness and streamline the process so that the applicant hears right back away after submitting their application rather than having to wait 2-3 days. 
. 
Sales Exploratory Data Analysis
 Python
•	Did some exploration using Pandas and NumPy on sales data where I answered questions relevant to the business, that included: What products are often sold together? And, what time should ads be displayed to maximize likelihood of customers buying the product.