PAVAN K S
Professional graduate in Computer Science and Engineering
Professional course MTech graduate with 9.43 CGPA
9Th Rank in M.Tech CSE from VTU, Belagavi.
To work hard with full dedication and actively participate with the team to achieve organizational objectives that can consistently develop my skills and allow me to grow personally and professionally along with the organization and to serve the organization to the best of my knowledge.
Work History
Intern
2 MonthsMachine learning project and AI based projects simple code to get how it work for different algorithms and how to clean data , interpret data , visualization of data and so on.
Education
M.Tech - Computer Science and Engineering
GPA: 9.43 (CGPA)
- Completed professional development in computer science
- Awarded 9th Rank from vtu
B.E. - Computer Science and Engineering
12th - PCMB
10th - Science
Skills
Coursework
- NPTEL (MACHINE LEARNING), 68% [ELITE]
- NPTEL (Database Management Systems), 52%
- Chat GPT, EXCEL (Prinston Smart Engineers), A grade
- Basics of Computer Networking, Great Learning
- Network Security, Great Learning
- Cloud Computing Service models, Great Learning
- NoSQL Database, Great Learning
Githubprofile
It contains my projects
Publications
Survey paper on hand gesture recognition system for real-time.
Published thesis work in M.Tech CSE on topic of image classification and real-time data classification and detection using deep learning models [aggregate model = combination of models to get better results ]
Extracurricular Activities
Listening to instrumental music for work concentration , Playing Sports like hockey, soccer, and chess
Projects
Hematological disease detection using deep learning combination of models to get better results
Object detection using Yolo model,
Diabetic Retinopathy Detection using fast CNN,
Gesture recognition to control the mouse functions remotely,
Diabetic Retinopathy Detection using CNN with website build,
Smart traffic management simulation,
Chatbot,
Language translator with the help of chat gpt to convert data,
Gesture recognition using unit model for classification and skeletal point recognition,
Disclaimer
Personal Information
- Disability: No
- Willing To Relocate: Yes
- Date of Birth: 04/20/97
- Gender: Male
- Nationality: Indian