Mechanical Engineering Student @ VIT Vellore | Python & Java | Data Analysis | AI/ML Enthusiast | DSA





Bachelor of Technology, Mechanical Engineering
Vellore Institute of Technology
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Turning data into decisions — and engineering problems into machine learning solutions. I’m a Mechanical Engineering student (Manufacturing specialization) at VIT Vellore who discovered a passion for using data and machine learning to understand and optimize real-world systems. I enjoy building models, experimenting with algorithms, and turning raw data into insights that actually solve problems. My focus is on applying machine learning, statistical analysis, and Python-based tools to engineering and analytical challenges. Through hands-on projects, I’ve built machine learning models and end-to-end pipelines using Python, scikit-learn, and TensorFlow. I’ve implemented regression algorithms from scratch using NumPy to better understand the math behind ML, and built predictive models such as a medical insurance cost prediction system with explainable AI (SHAP) and a Streamlit deployment for real-time predictions. My work involves exploratory data analysis, feature engineering, model evaluation, and communicating insights clearly through well-structured code and documentation. Right now, I’m focused on deepening my skills in machine learning systems, data science, and applied AI. I’m particularly interested in projects and opportunities where machine learning can be applied to engineering systems, manufacturing optimization, and real-world decision making. If you're working on interesting problems in AI, data science, or intelligent systems, I’d love to connect and learn from the work you're doing. 🚀
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Bachelor of Technology, Mechanical Engineering, Vellore Institute of Technology