Dedicated and enthusiastic second-year Computer Science Engineering student specializing in machine learning, software development, and emerging technologies.
Email: sharanyamavinaguni@gmail.com GitHub: Sharanya-Gowda LinkedIn: LinkedIn Profile Phone: +91 7892937490
Java, Python, C , Flutter, R, HTML/CSS, Unix, React, SQL , MongoDB ,Agular
Advanced: GitHub, AI Tools, Data Structures and Algorithms, Data Analytics, Computer Architecture Intermediate: Data Networking, Flutter, Matlab, Finite Automata Beginner: Machine Learning, SQL
Communication, Presentation, Team Building, Public Speaking
PNL for Named Data Networking Developed a unique approach to address challenges in name-based route lookup for Named Data Networking (NDN).
Fast Cache IQ Created a simulator to evaluate and demonstrate the performance of various caching algorithms, enabling faster access to RAM memory.
BGP Route Poisoning Simulation Simulated BGP route poisoning in a Java-based network model within a virtualized Kali Linux environment, revealing vulnerabilities and impacts on network routing.
Mobile Interface Using Java Developed a mobile interface using Java Swing, creating a graphical user interface (GUI) for mobile applications.
Teacher’s App Using Flutter Built an educational app using Flutter to simplify administrative tasks such as attendance, marks, and quizzes.
Movie Recommendation System Using R Implemented a movie recommendation system utilizing social network analysis in R.
App Development Intern: M S Ramaiah Institute of Technology (Oct '23 - Nov '23) Debug Derby: Participated in IEEE RIT's flagship coding event (May '24) Python Showdown: Contributed to CSE RIT's data visualization event
M S Ramaiah Institute of Technology, Bengaluru Pursuing B.E. in Computer Science Engineering (CGPA: 9.3)
Sai Angels PU College, Chikkamagaluru Completed PUC (12th grade)
Performing Arts: Passionate about acting and theater. Travel: Love discovering new places. Yoga: Embrace mindfulness and wellness practices. Dance: Trained in Bharatanatyam. This format applies bold styling to all headings, improving visibility in a GitHub README file.