pythonmachine learningdata science

Hello, I'm
Yash Singhal.

A B.Tech Computer Science student at JUET, Guna with expertise in Data Science, Machine Learning, and Web Development. Passionate about solving complex problems through code and data-driven insights.

Scroll to discover

I'm a Computer Science student at Jaypee University of Engineering and Technology with a strong foundation in Data Science, Machine Learning, and Web Development. Currently a Research Intern at NIT Bhopal, working on stress prediction systems. I've solved 100+ DSA problems and completed multiple AI/ML projects with certifications from Coursera and Udemy. Active in Mozilla Phoenix Club, leading events with 500+ participants.

8.03/10Current CGPA
15+Technologies mastered
10+Projects completed
💻 Tech Stack

Technologies I work with.

A comprehensive list of programming languages, frameworks, and tools I use regularly.

Programming Languages

Python
C++
JavaScript
HTML5
CSS3

Frameworks & Libraries

React
Next.js
Express

Databases

MySQL
MongoDB
Redis

Tools & Platforms

GitHub
Docker
Postman

AI/ML & Data Science

Jupyter
Python
✨ Projects

Projects Stuff

I've worked on a variety of projects, from small websites to large-scale web applications. Here are some of my favorites:

Built and managed the backend for a treasure hunt event; developed REST APIs for authentication, leaderboard management, and submissions. Scaled the system to handle 200+ participants and deployed on Render using Neon DB.

TypeScriptNext.jsPostgreSQLNeon DBRenderREST APIBackend Development

Comprehensive directory management system with advanced search and filtering capabilities

MERN StackMongoDBExpressReactNode.jsCRUD OperationsREST API

Video Calling Application using WebRTC technology with firebase Application

WebRTCFirebaseHTML5CSS3JavaScriptVideo CallingReal-time Communication

ML-powered interview answer evaluation system using cosine similarity for semantic analysis. Features EDA, data preprocessing, and NLP techniques for accurate assessment of candidate responses

PythonMachine LearningCosine SimilarityNLPEDAData PreprocessingScikit-learn

Full-stack attendance management system with real-time tracking, automated reporting, and user authentication. Built with MERN stack for seamless student and faculty attendance management

MongoDBExpressReactNode.jsMERN StackREST APIAuthentication

Key Achievements

Highlights of my academic journey, leadership roles, and technical accomplishments in AI/ML and software development.

NIT

Research Intern - NIT Bhopal

Working on stress prediction systems using machine learning and data analytics techniques. Currently working on publishing research paper on the findings.

MLResearch
DataAnalytics
AISystems

Key Contributions:

  • • Developing stress prediction models
  • • Data preprocessing and feature engineering
  • • Working on research paper publication
  • • Collaborative research work
Mozilla Phoenix Club

Secretary, Mozilla Phoenix Club

Initiated Hacktoberfest 2025 with MLH, achieving 6+ merges and Super Contributor badges. Mentored 50+ students in open source. Designed and managed backend for War for Treasure treasure hunt event using TypeScript, Next.js, and PostgreSQL (Neon DB), handling 200+ concurrent participants with RESTful APIs on Render.

50+Mentored
200+Users Served
70+PRs

Key Contributions:

  • • Initiated Hacktoberfest 2025 with MLH
  • • War for Treasure backend (TypeScript, Next.js, PostgreSQL)
  • • Mentored 50+ students in open source
  • • Managed 200+ concurrent users with RESTful APIs
Hacktoberfest badge

Hacktoberfest 2025 Super Contributor

Earned all badges including Super Contributor and Organizer. Received official Hacktoberfest t-shirt as one of the first 10,000 contributors with successful merged pull requests.

AllBadges
Top 10KGlobally
6+Merged PRs

Key Achievements:

  • • Super Contributor badge earned
  • • Organizer badge for event coordination
  • • Official Hacktoberfest t-shirt recipient
  • • Top 10,000 contributors worldwide