I am a Machine Learning Engineer and Python developer specializing in building and improving predictive models. My expertise includes optimization algorithms, clustering techniques, and applied data science using tools like NumPy, Pandas, and Scikit‑Learn .I am certified in Pandas and Machine Learning from Kaggle , ensuring strong technical foundations and reliable solutions.
Recently, I developed Churn Predictor, a real‑time customer churn analysis system using Logistic Regression on 7,000+ records. The project features:
• Interactive dashboards for live prediction and customer data registry
• AI performance insights with accuracy, recall, and feature importance analysis
• Real‑time churn risk probability visualization for business decision support

I provide end‑to‑end solutions from data preprocessing and model training with interactive dashboards. My focus is on reliability, transparency, and actionable insights to help businesses reduce churn and improve customer retention.