As a dedicated data scientist with a strong background in computer science and data analytics, I am passionate about solving complex, real-world challenges using machine learning and AI. I hold a B. Tech degree in Computer Science and Data Science from Galgotias College of Engineering and Technology, where I developed robust technical skills in Python, C++, SQL, and data visualization tools such as Power BI. During my tenure at Tailorsoft as a Data Scientist, I significantly enhanced business outcomes by designing and optimizing predictive models that improved forecast accuracy by 20% and reduced processing time by 30%. I also led the development of recognition models, applying CNNs and transfer learning on datasets exceeding 1 million records, which boosted classification accuracy by 15%. My hands-on experience includes conducting exploratory data analysis and feature extraction to improve model performance by 20%. As an Engineer Intern at Siemens, I focused on operational technology (OT) network security, reducing vulnerabilities by 95% through advanced security protocol implementations. I also enhanced the resilience of OT systems against cyber threats by 35%. In addition to my professional experience, my projects, such as the Vector Vigil Prediction system and Student Performance Indicator, showcase my ability to develop advanced machine learning solutions. These initiatives improved disease forecasting accuracy by 80% and student score predictions by 20%, respectively. Driven by a commitment to leveraging data to deliver impactful results, I am eager to explore new opportunities to contribute to cutting-edge advancements in the field of data science and AI.