ROHITH NAGAPURI
Richmond
Summary
Computer Science Engineering student with expertise in MERN stack, AI/ML, and database management. Proven ability to develop scalable applications that address real-world challenges. Strong problem-solving skills and collaborative approach enhance project outcomes. Committed to contributing to innovative projects and advancing within a dynamic team.
Overview
1
1
year of professional experience
1
1
Certification
Work History
AI/ML Intern
InternPe
08.2023 - 09.2023
- Developed AI-based models for real-world applications.
- Worked on IPL-winning team prediction and breast cancer detection using machine learning algorithms.
- InternPe: AI/ML
MERN STACK Developer Intern
Cantilever Labs
08.2022 - 10.2022
- Developed web applications using MongoDB, Express.js, React.js, and Node.js (MERN Stack).
- Built dynamic e-commerce websites and to-do list applications using React.js.
- Cantilever labs: Html, CSS, Bootstrap, JS, React, Angular, MongoDB (MERN STACK)
Education
Bachelor of Science - Computer Science and Engineering
Geethanjali College of Engineering & Technology
Hyderabad06-2024
Skills
- C Programming
- Java
- Html, Css, Javascript
- MySQL, Bootstrap(Framework)
- Python
- React, AngularJS, Expressjs
- Microsoft Azure
- MS Powerpoint
- MS Office
- Git
- Github
Certification
- ORACLE Academy: Java Fundamentals, 07/28/22
- COURSERA IBM: Getting Started with Git and GitHub, 10/30/22
- COURSERA UC San Diego: Machine Learning with Big Data, 01/07/23
- COURSERA University of Michigan: Introduction to Data Science in Python, 10/14/22
- IBM : Machine Learning with Python, 13/01/2023
Projects
- COLLEGE QUEST, Programmed a web application using HTML, CSS, JS, PHP, and SQL.
- PREDICTIVE ANALYSIS FOR BIG MART SALES, Implemented machine learning algorithms to analyze and predict sales trends using Python.
- VEHICLE ACCIDENT PREVENTION AND REPORTING SYSTEM, Designed a GSM+GPS+MEMS-based system using Arduino to detect and report real-time accidents.
- FACE TUNING USING RASPBERRY, Built an AI-powered facial recognition system using Raspberry Pi and Python.
- Detection of Kidney Disease using Machine Learning & Data Science,This study uses machine learning on a Kaggle renal dataset to identify key features and accurately diagnose kidney disease.
Timeline
AI/ML Intern
InternPe
08.2023 - 09.2023
MERN STACK Developer Intern
Cantilever Labs
08.2022 - 10.2022
Bachelor of Science - Computer Science and Engineering
Geethanjali College of Engineering & Technology