Satya Sai Varun Dogiparthi
Computer Science Undergraduate | Python & Java Developer | AI/ML Enthusiast | Data Analytics | Building Practical Tech Solutions
Hyderabad,India
dogiparthisatyasaivarun@gmail.com
I am a Computer Science undergraduate at GITAM University with a strong interest in Python programming, Artificial Intelligence, Machine Learning, and software development. I have hands-on experience in Python, Pandas, NumPy, Java, SQL, and web technologies through academic projects and my technical internship at XTGlobal Infotech. My projects include an Employee Attrition Prediction System using Python and Pandas, an Enterprise Asset Inventory Management System, and a Library Management System. I enjoy analyzing data, solving problems, and exploring how AI and emerging technologies can be used to build intelligent and practical solutions. I am particularly interested in Generative AI, Machine Learning, and data-driven applications. As a quick learner and collaborative team player, I look forward to connecting with developers, exploring new technologies, contributing to innovative projects, and continuously growing my technical skills.
Technical Intern
XTGlobal Infotech Limited
- Completed structured technical training with the Circulus ENT team, building hands-on proficiency in Java, Spring Framework, JSP, Maven, and SQL within a professional enterprise environment.
- Strengthened understanding of backend application architecture, relational database design, and production-grade coding standards through real Java development tasks.
- Collaborated on project-based development tasks under mentor guidance, applying Git version control and gaining exposure to enterprise, cross-functional project workflows.
Enterprise Asset Inventory Management System
Architected a web-based Asset Management System using Spring MVC with a layered Controller-Service-DAO structure, ensuring clean separation of concerns and scalable, maintainable code. Implemented session-based user authentication and full CRUD operations for asset management using JDBC, backed by well-structured Oracle SQL schemas. Built an efficient asset search feature for fast record retrieval and developed responsive JSP-based UIs with HTML, CSS, and JavaScript; streamlined dependency and build management using Maven.
Employee Attrition Prediction System
Analyzed and cleaned a real-world HR dataset using Pandas to identify key attrition patterns and workforce trends. Delivered structured, data-driven reports and actionable insights to support informed HR decision-making.
B.Tech in Computer Science Engineering
GITAM University · 8.74
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