Hi, I'm Aasritha sai Chigurukota

Computer Science Student Turned Professional | Eager to Apply Knowledge in Real-world Projects

As a recent Computer Science graduate, Passionate about leveraging technology to solve real-world challenges. My academic journey has equipped me with a solid foundation in Algorithms, Programming languages, and Problem-solving skills. I am eager to contribute my knowledge and collaborate with like-minded professionals to create cutting-edge applications that make a positive impact.
Feel free to connect with me on LinkedIn or check out my GitHub for more of my work !


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About

I am Aasritha sai, a recent Graduate of Computer Science and Engineering, Class of 2024. I am an enthusiastic and competitive individual, dedicated to contributing to Team success through Hard work, attention to detail, and Excellent Organizational skills. My interests lie in both Experimental research and Coding. I am proficient in C, Python, Java frameworks, Machine Learning, and Front-end Development.

  • Languages: Python, Java, JavaScript, C, HTML/CSS
  • Databases: MySQL
  • Libraries: NumPy, Pandas, OpenCV, Sklearn
  • Frameworks: Django, React.js, Node.js, Bootstrap

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

ExcelR logo

ExcelR Solutions

Project Trainee
  • Optimized navigation for simplicity, resulting in a 30% increase in user engagement and ensuring seamless movement between sections.
  • Implemented project requirements, utilizing React JS with CSS and Bootstrap for the front end, Java for the back end, and Express and Node.js for the database.
  • Developed a system featuring an intuitive and user-friendly interface, resulting in a 25% reduction in time-related task completion for employees.
Aug 2023 - Jan 2024
Indian servers logo

Indian Servers Private Limited

Machine Learning Intern
  • Constructed an efficient Machine Learning Model achieving a 95% accuracy rate in predicting various Traffic Signs.
  • Employed the “German Traffic Signs” Dataset as the foundation for this project
  • Introduced a computerized method for traffic sign identification, leveraging a Convolution Neural Network with a recognition accuracy of 90%.
May 2022 - Jul 2022 | work from home

Projects

Fake news
Fake News Detection

Efficient way to solve a Real life problem with ML alogorithms

Accomplishments
Using Machine Learning

Key components of the system include:

  1. Data Preprocessing
  2. Feature Extraction
  3. Machine Learning Models
Employee time
Employee Time Entry System

Crucial for tracking and managing Employee work hours

Accomplishments
    Tools:
  • Front End: React JS, CSS, Bootstrap
  • Back End: Java
  • Database: Express and node JS
traffic sign
Traffic Sign Recognition

Identification of Traffic signs in Autonomous vehicles

Accomplishments
    Using Convolution Neural Networks
  • With this model, we can read and understand traffic signs which is a very important task for all autonomous vehicles.
Books
Books Details

List of all the Books in detail.

Accomplishments
    Using React.js Framework

    The Details of the book displayed are:

  • Title
  • ISBN
  • Page Count
  • Authors
CV
Profile Card

Curriculum vitae

Accomplishments
  • The purpose of a profile card is to provide a quick snapshot of oneself.
  • It includes essential details like the person's name, profile picture, contact information, and a brief bio or key skills.

Skills

Languages and Databases

Java
Python
Front-end
MySQL

Libraries

Frameworks


Django
Bootstrap
React JS
Node JS

Certificates

Education

PSCMR College of Engineering and Technology(2020 - 2024)

Vijayawada, Andhra Pradesh

University: JNTU, Kakinada
Degree: Bachelor's in Computer Science and Engineering
CGPA: 8.14/10

    Relevant Courseworks:

    • Operating Systems
    • Machine Learning
    • Computer Networks
    • Database Management Systems
    • Software Engineering
    • Compiler Design
    • Foundations of Algorithms

Sri Chaitanya Jr. College(2018 - 2020)

Vijayawada, Andhra Pradesh

Stream: MPC
Board: BIEAP : Andhra Pradesh Board of Intermediate Education
CGPA: 9.11/10


STB (EM) High School(2018)

Vijayawada, Andhra Pradesh

Board: BSEAP : The Board of Secondary Education Of Andhra Pradesh
CGPA: 9.3/10


Contact

+91-9491****49

aasrithasaikota@gmail.com

https://github.com/Aasritha26

https://www.linkedin.com/in/aasrithasaichigurukota/