I am a Computer Science and Engineering graduate with strong skills in Full Stack Development, Machine Learning, and Data Analytics. Proficient in Python, Java, and SQL, I have used these languages to build real-world applications and solve practical problems. My web development experience includes working with HTML, CSS, JavaScript, Angular for frontend, and Spring Boot for backend development. I’ve developed full-stack applications, including an online bus booking system and an e-commerce website, handling both user interfaces and secure backend APIs. During my AI internship at IBM, I built a sentiment analysis system using Natural Language Processing and Machine Learning to extract insights from customer reviews. I am familiar with data preprocessing, model training, and algorithms like Decision Trees, SVM, and Logistic Regression. I also completed a data mining project that predicted road accidents based on environmental and traffic data. My technical toolkit includes Git for version control, MySQL for database management, and Jupyter Notebook for ML development. I’m certified in Apache Spark for Data Engineering by IBM and UI/UX Design by L&T EduTech, which has helped me build user-friendly interfaces and understand data processing at scale. Beyond technical skills, I bring strong analytical thinking, time management, and teamwork abilities.