Data Engineer

BCG DATA SCIENCE & ADVANCED ANALYTICS VIRTUAL INTERNSHIP 2021
• Created a model to predict companies likely to churn from PowerCo - an energy company.
• Classified the factors that affected the company churn using Random Forest Classifier and feature importance.
• Achieved 90% accuracy in the model, using Keras in TensorFlow.• https://github.com/barbarazen/BCG-Open-Access-Data-Science-Advanced-Analytics-Virtual-Experience-Program

Credit Card Fraud Detection (Python) Marseille, France
SOLO PROJECT 2021
• Conducted analysis on bank’s dataset to predict fraudulent transactions.
• Achieved 92% accuracy in the model, using Logistic Regression to predict the fraudulent transactions.
• https://github.com/barbarazen/CREDIT-CARD-FRAUD-DETECTION

Customer Research Project (Python) Marseille, France
ANZ DATA SCIENCE VIRTUAL INTERNSHIP 2021|
• Conducted analysis on customers transaction dataset to predict annual salary.
• Utilized Random Forest Regression, Linear Regression and Decision Tree Regression for the predictive modelling.
• https://github.com/barbarazen/ANZ-Data-Science-and-Analytics-Virtual-Internship--Forage