TEJA SUBRAMANYAM GOLLAPALLI

Computer science graduate with hands-on experience in machine learning, cloud computing, and web development. Proficient in Python and Java, with strong skills in data analysis, model building, and deployment. Aiming for an entry-level role in software engineering, data analysis, or machine learning engineering to apply technical expertise and drive impactful solutions.

• Delivered multiple projects spanning Machine Learning, Java, and Cloud with end-to-end development.
• Strong hands-on experience in Python-based data analysis and responsive web development.

• AWS Cloud Computing Certification
• AWS AI/ML Virtual Internship
• NPTEL - Python for Data Science
• Infobyte - Web Development

• Java-Based Student Management System, Core Java, JDBC, MySQL, Developed a menu-driven Student Management System to efficiently manage student records., Implemented CRUD operations with input validation and exception handling., Integrated JDBC with MySQL for persistent data storage and retrieval., Applied OOP principles including inheritance, encapsulation, and abstraction., Enhanced data accuracy and automated manual record management.
• House Price Prediction, Python, Logistic Regression, Naive Bayes, Built predictive models on Kaggle housing datasets., Performed EDA, data preprocessing, and feature scaling for improved accuracy., Compared model performances to identify the best algorithm.
• Biometric Blood Group Detection, Application Development, Fingerprint Authentication, Developed a biometric system combining fingerprint authentication with blood group identification., Increased speed, reliability, and accuracy for emergency healthcare identification., Showcased practical application of biometrics in medical systems.