Deepak User

I've built an anomaly detection system for banking environments to identify unusual transactions and potential fraud using Python and machine learning. During my Fraud Detection Engineer internship at Zetheta, I worked on anomaly detection systems and fraud detection concepts.

At Skillfied Mentor, I worked on machine learning and predictive analytics projects, applying data preprocessing, model training, and performance evaluation with Scikit-learn and TensorFlow. I've also developed a deep-learning heart disease prediction project to support early healthcare diagnosis.

I build user-focused web applications with Python, Django, JavaScript, React.js, SQL, and MongoDB, including a skincare and haircare recommendation system with authentication, rule-based filtering, and database management.