UMESH VANGAPALLY
DeKalb,Illinois
Summary
I'm a hardworking and enthusiastic student who loves to learn. I enjoy tackling tough challenges in my studies and always aim for top-notch performance. I'm good at solving problems, thinking critically, and communicating effectively. Learning is a lifelong journey for me, and I'm excited to bring my dedication and skills to future academic and professional opportunities
Overview
1
1
year of professional experience
1
1
Certification
Work History
Web Technologies
Mapping Tech Labs
10.2021 - 11.2021
- Earned Certificate by creating a bicycle-focused website for web development project.
- Created user-friendly and visually appealing user interfaces through the utilization of HTML, CSS, and various web technologies.
- Developed interactive prototypes using HTML, CSS, JavaScript, and additional web technologies.
Cloud Computing
Qwik Labs
03.2021 - 05.2021
- Hands on Lab Experience and earned multiple badges in the field of cloud resources and essentials.
- Evaluated emerging technologies related to Cloud computing.
Education
Masters - Computer Science
Northern Illinois University
Bachelor Of Technology - Computer Science And Engineering
Vardhaman College Of Engineering
Intermediate - Mathematics, Physics and Chemistry
Topper's Junior College
Skills
- Programming Language: C, C, PYTHON, JAVA
- Web Technologies: HTML5, CSS3, Bootstrap, Javascript
- Database: MySQL,DBMS
- Web servers: XAMPP
- Packages: Numpy ,SciPy, Scikit-learn
- Tableau
- Excel
- Machine Learning
- Data visualization
- Artificial Intelligence
Certification
- AWS Certified Cloud Practitioner
- Google cloud essentials
- Agile methodologies – Safe
- Azure – Fundamentals
- Gen-AI – Fundamentals
- AWS:reinvent 2023 – Virtual Participation
- Supply chain management Fundamentals
- CISCO - Introduction to IOT
- WIPRO - Java J2EE
- Azure Skynet - Web Development
Projects
FRUIT DISEASE DETECTION
By using convolutional neural network first we have classified the
type of the fruit and then based on Freshness of the fruit we have
classified the disease.
PNEUMONIA DETECTION
By using Machine Learning (CNN) we have trained a model with
approximately 5000 images(lungs X-Ray) and got an testing
accuracy of 93 percentage.
EYE BALL CURSOR MOMENT USING DEEP LEARNING
By using ML algorithms and OpenCV we have detected the eyeball
location and based on the center of pupil the cursor in the
computer moves and can also perform mouse operations
Timeline
Web Technologies
Mapping Tech Labs
10.2021 - 11.2021
Cloud Computing
Qwik Labs
03.2021 - 05.2021
Masters - Computer Science
Northern Illinois University
Bachelor Of Technology - Computer Science And Engineering
Vardhaman College Of Engineering
Intermediate - Mathematics, Physics and Chemistry
Topper's Junior College
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