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I’m a Computer Science & Engineering bachelor’s student focused on turning data into useful predictions. I’ve built a foundation in machine learning and analytics while learning to structure problems end to end.

During my Machine Learning & Data Training with CODING BLOCKS, I worked with Python libraries including NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, and TensorFlow. I gained hands-on experience in data preprocessing, feature engineering, and model evaluation on real-world datasets for predictive analytics and data visualization.

In my projects, I designed a Brain Tumor Classification system to support early detection using MRI image analysis. I trained a deep learning model on a large MRI dataset, aiming to automate tumor detection and reduce manual analysis time; it’s built with Python, ML, Flask, HTML, and CSS.

I also built a Hotel Management System using the MERN stack to manage bookings, rooms, and customer information. I implemented reservation, check-in/check-out, and billing features and created room and customer profiles for efficient data management with HTML, CSS, JavaScript, and MySQL.