SHIVA SIDDHARTH YEDLA
Atlanta,Georgia
Summary
Dedicated software engineer with a certification in the Python programming language, driven by a passion for innovation and eager to contribute to the development of cutting-edge business solutions. I am seeking an opportunity with a forward-thinking organization where I can apply my knowledge and skills to drive impactful change and grow alongside a dynamic team. Known for my organizational skills and reliability, I excel at managing multiple priorities with a positive attitude. I am committed to taking on additional responsibilities to support team goals and contribute to the overall success of the organization.
Overview
1
1
year of professional experience
6
6
Certification
4
4
years of post-secondary education
Work History
Intern
brandope media
Hyderabad, Telangana
05.2023 - 11.2023
· Worked as Intern-developer in UI/UX screen design.
· Applied design principles such as typography, color theory, and layout design to create polished interfaces that facilitated seamless navigation and interaction.
Education
Master of Science - Business Analytics
Mercer University
Atlanta, GA 01.2024 - Current
Keshav Memorial Institute of Technology
Hyderabad 08.2019 - 08.2023
Skills
- Operating systems worked on: Windows XP 7/8/10 and good knowledge on Excel, MS office
- Programming skills: C, Python,HTML,CSS
- AWS service(basic level)
- Programming skills: UX & UI development, SQL, back-End web development (Intermediate level)
- Excellent Communication and Interpersonal skills
- Quick learning ability, Innovative thinking, polite, Co-operative, creative, helpful & friendly
Certification
- Coursera course: Neural Networks and deep learning
- Coursera course: Front-end Web UI Frameworks and tools: bootstrap4
- NPTEL course: Deep Learning from IIT Kharagpur
- NPTEL course: Joy of Computing through Python from IIT Madras
- NPTEL course: Data Science for Engineer
- NPTEL course: Social Networks
Community
- Street Cause, Provided supplies and medical attention to sick or homeless.
- Youth Assembly, Raises money from partner organizations to utilize it for buying books, repairing damaged school facilities, and providing amenities to underprivileged youngsters.
Languages
- English
- Telugu
- Hindi
Projects
Trash classification using neural networks:
A trash classification system that used TrashNet data to classify recyclables and trash. We mainly used convolutional neural networks (CNN) and experimented with various architectures. We modify AlexNet, used testing techniques like dropout, data augmentation and able to achieve 79.44% accuracy.
Student attendance using face recognition technique:
Automated student attendance system based on face recognition technology. It identifies individuals by comparing their facial images captured from video frames with registered images. It aims to replace manual attendance systems, offering benefits such as speed, efficiency, and cost savings.
Timeline
Master of Science - Business Analytics
Mercer University
01.2024 - Current
Intern
brandope media
05.2023 - 11.2023
Keshav Memorial Institute of Technology
08.2019 - 08.2023