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I’m a 2026 Electronics & Communication Engineering graduate from RGUKT Ongole with a CGPA of 8.38, and I’m passionate about applying machine learning and data analysis to solve real-world problems.

My core technical skills include Python, machine learning with Scikit-learn, deep learning with TensorFlow and OpenCV, and statistical modeling — which I’ve applied hands-on through two end-to-end AI projects. In my Intelligent Traffic Management System, I built a full ML pipeline using YOLO and classification models to optimize signal timing from real-time video data. In my Real-Time Smart Security System, I developed a CNN-based anomaly detection pipeline combining computer vision with IoT sensor data.

I also completed an R&D internship at Bharat Electronics Limited’s Electro-Optics Division, where I worked on data collection, signal analysis, and structured reporting in a cross-functional engineering environment — which gave me strong exposure to delivering analytical insights in a professional setting.

I hold NPTEL certifications from IIT Madras and IIT Ropar in Python programming and problem solving, which reflect my commitment to continuous learning.