Customer Churn Prediction
Analyzed telecom customers' personal details and usage data to classify which customers were likely to leave.
I’m a Computer Engineering graduate specializing in Artificial Intelligence, with hands-on experience building classification models and automating data extraction. I enjoy applying Python and machine learning to real-world problems, from customer churn to health-risk prediction.
Every creator has their toolkit. These are the technologies and tools I reach for to turn ideas into experiences.
Every project is a story of curiosity turned into code — built to function and to feel right.
Analyzed telecom customers' personal details and usage data to classify which customers were likely to leave.
Classified mobile users into behavior groups using partially labeled data.
Developed a Scikit-learn model using Logistic Regression and SVM to predict heart-disease risk from health data.
Great work starts with great conversations. Whether you want to collaborate or just say hi — I'm always open.