AI/ML Enthusiast with 4 years of experience as a TechOps Engineer. Skilled in Machine Learning, Deep Learning, and Data Analytics with hands-on project experience in Telecom Churn Prediction and Skin Cancer Detection using CNNs. AWS Certified Solution Architect with expertise in cloud management, automation, and IT infrastructure. Seeking to apply AI/ML expertise in real-world problem-solving and scalable solutions.
1.Telecom churn case study and prediction:
Developed ML models to predict telecom customer churn using demographic, usage, and billing data.
Achieved high accuracy and identified key churn drivers to inform retention strategy.
2.Capstone Project: Skin Cancer Detection:
Built a custom CNN in TensorFlow for multiclass skin cancer detection.
Achieved strong classification performance on melanoma and other classes.