As a dedicated B.Tech graduate in Computer Science & Engineering with a 9.11 CGPA, I have honed my expertise in data science, machine learning, and deep learning. My academic journey and projects have provided me with a solid foundation in predictive analytics, generative AI, and NLP, allowing me to develop sophisticated models for real-world applications. I have worked on projects like Diamond Price Prediction and Thermal Power Consumption Analysis, where I applied machine learning techniques such as Linear Regression, Lasso, Ridge, and ElasticNet to analyze and forecast trends. My hands-on experience with tools like Python, Power BI, and Scikit-learn has equipped me to derive actionable insights from large datasets. Beyond my technical skills, I have a proven track record in competitive programming, achieving top global ranks on platforms like CodeChef, Leetcode and Google Kickstart. This experience has sharpened my problem-solving abilities and my capacity to deliver results under pressure. I am passionate about leveraging my skills in generative AI, deep learning, and data visualization to drive data-driven decision-making in dynamic environments. I am actively seeking opportunities to contribute to innovative teams as a Data Scientist or Data Analyst.