Welcome to my portfolio! I am a recent graduate in Computer Science, with minor specialization in Artificial Intelligence and Machine Learning. My academic journey and internship at ISRO's SAC equipped me with a solid foundation in advanced technologies, where I implemented novel image segmentation techniques for satellite imagery.

I have worked on a range of impactful projects, including developing deep learning models for pedestrian detection and stock market price prediction, as well as creating solutions for malaria cell image classification and predicting invariant mass in particle physics. These experiences showcase my ability to apply machine learning to complex real-world problems and highlight my expertise in data analysis, computer vision, and predictive modeling. The projects I have worked on are listed on GitHub.

Proficient in Python, PyTorch, TensorFlow, Scikit-learn and Power BI, I thrive on tackling intricate challenges with innovative, data-driven solutions. As an active participant in Kaggle competitions, I continually seek to enhance my skills and contribute to the data science and machine learning community. Thank you for visiting my portfolio—I look forward to connecting!