Srishti'S portfolio

Srishti Sinha

I'm

Hello! I'm a passionate Computer Science student skilled in software development, System design and modern technologies.
I love building smart solutions with AI and Machine Learning.

Let's innovate together!

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My introduction

Passionate about building scalable software and intelligent systems, I am a Computer Science Engineering student with a strong foundation in data structures, algorithms, and full-stack web development. My expertise spans Java, C, JavaScript, React, Node.js, and modern databases. I love exploring AI/ML, developing models with Python libraries like Pandas and scikit-learn, and deploying real-world solutions. I thrive on solving complex problems, collaborating on innovative projects, and continuously learning new technologies to stay ahead in the tech world.

Full Stack

Java C HTML CSS Bootstrap JavaScript Node Js React Redux Express Js Swing Swagger TailwindCSS Git GitHub API REST JSON Postman Docker

Machine Learning

Pandas StreamLit Matplotlib Seaborn scikit-learn NumPy

Database

MySQL MongoDB Firebase PostgreSQL SQLite

Web Designer

Creating visually appealing and user-friendly websites using HTML, CSS, Tailwind CSS, Bootstrap, JavaScript, and React.

Full Stack Development

End-to-end web application development using JavaScript, Node.js, Express.js, React, MongoDB, MySQL, and REST APIs.

System Design

Designing scalable, robust, and maintainable software systems. Proficient in architectural patterns, database design.

Trained ML Models

Building, training, and deploying machine learning models for real-world applications using Python, Pandas, scikit-learn, NumPy, and Streamlit. Experienced in data preprocessing.

Content Writing

I'm a Contributing Writer for GeeksForGeeks, creating technical articles and tutorials on programming, algorithms, and software development.

Zoom Web Application

A real-time video conferencing web app built with React, WebRTC, JavaScript, and MongoDB. Enables seamless group video calls, chat, and screen sharing.

IPL Win Predictor

Machine Learning project using Streamlit, NumPy, and Pandas to predict IPL match outcomes based on historical data and live inputs.

Code Harbor

A full stack platform for code sharing and collaboration. Built with Vite, React, Node.js, Supabase, and Cheerio for web scraping and real-time features.

Expense Tracker

Fully deployed expense management app with authentication, analytics, and cloud storage. Built using Full Stack technologies.

Trade Sphere

A stock market analysis web app that provides real-time data, trends, and insights. Developed with React, Node.js, and MongoDB.

Car Game

Fun and interactive car racing game developed in Python using Pygame and Amazon Q CLI for enhanced development workflow.

Find Me

Email: msdianvarsha@gmail.com

+91 8405057754

About Me