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Hello there! I am Snehal Ray and welcome to my GitHub

💫 About Me:

I am a 3rd-year Computer Science student at the University of Alberta, pursuing an honors bachelor's degree. With a passion for building robust applications, I am deeply immersed in the dynamic worlds of Machine Learning and Software Development. My journey is fueled by a relentless curiosity and a drive to innovate, aiming to contribute meaningfully to the tech landscape.

🚀 My Personal Website:

Here is my personal website to checkout

🎓 About Me

Feel free to reach out to me through my socials

🌐 Connect with me:

LinkedIn

💻 Tech Stack:

Languages:

Python C C++ C# Java JavaScript SQL MongoDB R Julia Firebase PostgreSQL Assembly TypeScript

Frameworks:

HTML5 CSS3 React Node.js Django Tkinter Express.js Next.js Tailwind CSS

Developer Tools:

Linux Git Google Cloud VS Code AWS Android Studio Figma

Libraries:

Pandas NumPy Matplotlib Selenium PyTorch TensorFlow

Snehal Ray's Projects

emoji-brite---event-organizing-app icon emoji-brite---event-organizing-app

This is an android studio app project where there are features such as geolocation, generating and sharing qr codes, browsing through events, creating events, admin access. This is a full stack application which uses FireBase database and we have also created test cases for this project. We have had 6 people build this project.

game-distribution icon game-distribution

Just a TKinter Project which uses MySQL to store database as it includes a login screen/register

movie-api icon movie-api

A HTML, CSS, JS project where I use the Movie API where you can look at the real life, current movies available in the market

premierleaguedatapredict icon premierleaguedatapredict

A project on web scraping real time football data and then using it to create a full stack application to view premier league data as well as see prediction matches between teams using Machine Learning

text-summarization-ml-project icon text-summarization-ml-project

Here is an ML project where I fined tuned the data to create a ML model where users can add a large text and the ML model will summarize it and display it in short words. I used Python's flask to create a website.

twitterdbms_sql icon twitterdbms_sql

Just a project where we use SQL to store data in a Twitter look a like

wordle icon wordle

Made a CSS/HTML/JS project which is about wordle

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