Summary
Overview
Work History
Education
Skills
Websites
Languages
Hobbies and Interests
Affiliations
Timeline
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Nityanand Balabhim Madre

Nityanand Balabhim Madre

Gulbarga

Summary

Fourth-year B.Tech student specializing in Computer Science and Engineering at Dayananda Sagar University, possessing expertise in C, Python, Java, C++, JavaScript, HTML, CSS, NodeJS, data structures, and MySQL. Developed practical skills through college projects emphasizing frontend and software development. Demonstrates strong problem-solving, teamwork, and communication skills for application in dynamic work environments.

Overview

1
1
year of professional experience

Work History

Stack overflow

Null Class
Gulbarga
07.2024 - 08.2025
  • Completed rigorous course on Stack Overflow problem-solving and community engagement.
  • Analyzed real-world coding challenges using JavaScript, Python, C++, and SQL.
  • Gained expertise in debugging and writing efficient code with clear solution articulation.
  • Developed mini-projects replicating Stack Overflow discussions and logic troubleshooting.

Education

Bachelor of Technology - Computer Science and Engineering

Dayananda Sagar University
Bengaluru
01.2026

Skills

  • Programming languages: C, Python, Java, C
  • Web technologies: HTML and CSS
  • Scripting: JavaScript
  • Backend development: Nodejs
  • Database management: SQL and MongoDB
  • Version control: Git and GitHub
  • Data Structures and Algorithms

Languages

English, Hindi, Marathi, Kannada

Hobbies and Interests

Reading, Listening Music, Travelling, Writing, Coding, Learning new skills

Affiliations

Amazon Clone – Front-End Web Application
HTML, CSS

  • Developed a responsive clone of Amazon's homepage and product listing interface using HTML and CSS
  • Implemented features like a navigation bar, product grid layout, and cart icon with a responsive design
  • Practiced pixel-perfect design, layout structuring, and responsive development using media queries
  • Demonstrated understanding of modern front-end design principles and UI replication

Brain Tumor Detector – Machine Learning Project
Python, Spirit-learn / TensorFlow

  • Built a machine learning model to detect brain tumors using MRI scan images
  • Preprocessed image data, applied data augmentation, and trained a CNN for classification
  • Achieved accuracy in detecting tumors across sample datasets
  • Gained hands-on experience in model training, evaluation, and healthcare-related AI solutions

Timeline

Stack overflow

Null Class
07.2024 - 08.2025

Bachelor of Technology - Computer Science and Engineering

Dayananda Sagar University
Nityanand Balabhim Madre