Gayathri Kolli
Edmond,OK
Summary
Computer Science enthusiast with a flair for turning complex problems into innovative solutions. Combining a deep understanding of algorithms with a passion for emerging technologies, eager to leverage obtained skills in a high-impact internship and drive meaningful innovation.
Overview
2
2
years of professional experience
Work History
Service Desk Specialist
University of Central Oklahoma
10.2023 - Current
- Facilitated smooth software installations, upgrades, and patches, ensuring minimal disruption to users'' work.
- Optimized workflow efficiency by creating detailed documentation of about service desk procedures and best practices.
- Streamlined service desk processes for quicker issue resolution and increased client satisfaction.
Research Intern
Keshav Memorial Institute of Technology
09.2022 - 06.2023
- Wrote and maintained code for model implementation, testing, and evaluation.
- Evaluated the Malaria Detection model’s performance on test data to assess its accuracy(89%) and effectiveness in detecting malaria parasites.
- Experimented with different model architectures by integrating additional features.
Education
Master of Science - Computer Science
University of Central Oklahoma
Edmond, OK05.2025
Bachelor of Computer Science -
Keshav Memorial Institute of Technology
Hyderabad08.2023
Skills
- Java
- Python
- JavaScript
- Bootstrap,
- MySQL
- React
- C
Internships and certifications
- SWAYAM NPTEL | DATA SCIENCE FOR ENGINEERS, Elite Certification
- SWAYAM NPTEL | SOCIAL NETWORKS, Gold Certification
Projects
Reminder Management System
- Designed a system to create various categories and add tasks and reminders under them.
- Drew UML diagrams, generated usecases and performed Automated and Manual testing.
- Followed the Software Development Life Cycle series of stages during the development of the system.
- Tech Stack: Java Spring Boot, React supported by MySQL.
Malaria Parasite Detection in Bloodstream
- Developed using YoloV5 object detection model, interfaced with front-end made using MERN.
- Use of image segmentation and feature extraction to classify malaria present in images of microscopic blood smears.
- Tech Stack: Python Libraries, MERN.
Cyber Bullying Detection on Social Media
- Built a software application for detecting bullying on Social Media.
- The model is trained using NLP (Natural Language Processing) and Machine Learning classifies whether a message is acceptable or not before posting.
- Tech Stack: Python, Django, SQLite.
Activities
- National-level player and Black-belt holder in Taekwondo.
- Carnatic music singer for 7 years.
Timeline
Service Desk Specialist
University of Central Oklahoma
10.2023 - Current
Research Intern
Keshav Memorial Institute of Technology
09.2022 - 06.2023
Master of Science - Computer Science
University of Central Oklahoma
Bachelor of Computer Science -
Keshav Memorial Institute of Technology
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