Ever since I first discovered how raw numbers can tell powerful stories, I’ve been fascinated by the impact of data-driven decisions. This curiosity grew into a passion during my Bachelor of Technology in Artificial Intelligence and Data Science, where I learned to transform data into meaningful insights. I’m a recent graduate skilled in Python, SQL, Power BI, and Excel, with hands-on experience in machine learning, statistical analysis, and data visualization. Academic Highlights: Developed a stroke detection pipeline using ResNet50, U-Net, and genetic algorithms, improving classification accuracy by 14%. Created a Formula 1 podium prediction model with telemetry data, achieving 92% accuracy in simulations. I bring a blend of technical expertise and problem-solving ability, turning complex datasets into clear, actionable strategies that support business goals. Beyond analytics, I’m passionate about sports data, AI in healthcare, and continuous learning—whether that’s exploring visualization tools or competing in Kaggle challenges. 📌 Skills & Keywords: Data Analysis | Machine Learning | SQL | Python | Power BI | Data Visualization | Feature Engineering If you’re looking for a driven, detail-oriented data enthusiast, let’s connect and explore how I can contribute to your next project.