Jiban Rajbanshi

I’m a Python-focused data science and machine learning candidate, building prediction and analytics projects with an emphasis on clear, user-friendly outputs. My work blends EDA, model evaluation, and practical interfaces so insights become actionable decisions.

In my Churn Prediction project, I used a pre-trained Gradient Boosting model inside a responsive Streamlit dashboard. I built interactive views for churn-rate exploration, tenure buckets, and customer statistics, and added a dedicated model performance section with accuracy, precision, recall, F1-score, and AUC.

I also developed a Nepal road accident analysis covering all 77 districts in 2025, using ML-driven insights to support recommendations like AI-powered speed cameras and targeted safety measures. Through my education and certifications, including “Python With Data Science and Machine Learning,” I’ve strengthened my foundation for scalable work in agile teams.