Computer Science and Engineering (Data Science) graduate with strong hands-on exposure through real-time internships and academic projects. Proficient in Python, Java, SQL, data analysis, machine learning, and full-stack development fundamentals. Demonstrates strong analytical thinking and adaptability, with the ability to contribute effectively to real-world development environments as an entry-level professional.
➢ Built a ML-based system to analyze player performance and game statistics.
➢ Performed data preprocessing, feature extraction, and model evaluation.
➢ Delivered insights to support data-driven sports decision-making.
➢ Developed an AI solution to detect crop diseases from leaf images.
➢ Applied image preprocessing and classification techniques.
➢ Improved early disease detection accuracy for smart agriculture use cases.
➢ Designed a full-stack e-commerce application with user authentication.
➢ Implemented product browsing, search, cart, and order workflow features.
➢ Integrated backend logic with database operations.
Languages: PYTHON, JAVA
B.Tech – Computer Science & Engineering (Data Science)
QIS College of Engineering & Technology, JNTU Kakinada
CGPA: 7.0 | 2022 – 2026
💡STRENGTHS
Analytical thinking | Fast learner | Team collaboration | Adaptability | Problem-solving