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Myself

Hello there! 👋 I'm Ayush Saini, a passionate individual hailing from the picturesque town of Dehradun, Uttarakhand 🏡. Currently navigating the exciting realms of academia at the University of Petroleum and Energy Studies 🏫, I'm proudly progressing through the batch of 2020-2024 📚.

My academic journey has been intricately woven with the threads of Artificial Intelligence and Machine Learning 🧑‍💻, areas where I find endless fascination and exploration. Beyond the world of algorithms and data, I delve into the beauty of capturing moments through Photography 📸, conquering new heights through Hiking ⛰️, embarking on solo adventures on two wheels 🚵, and unraveling the mysteries of unexplored places ⛰️.

In the vast digital landscape, I contribute my skills as a Project Collaborator in Web Development, shaping ideas into tangible online experiences. Among my portfolio, you'll find the Infirmary Management System, a testament to my dedication to streamline processes through web development. On the Machine Learning frontier, I've ventured into predicting the unpredictable in Football ⚽️ and optimizing trading strategies in the volatile world of cryptocurrencies 📈.

Join me on this exciting journey as I blend the realms of technology, creativity, and exploration. Let's code, capture, climb, and conquer together! 🚀✨

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✍️ Random Dev Quote

💻 Tech Stack:

C++ HTML5 Python MySQL Matplotlib NumPy Pandas TensorFlow scikit-learn Keras Plotly

📊 GitHub Stats:



🏆 GitHub Trophies

Ayush_Saini's Projects

100-days-of-code icon 100-days-of-code

Welcome to my 100 days of Code in C++. What's the 100 Days of Code Challenge? For those unfamiliar, it's a commitment to code for at least an hour every day for the next 100 days. Whether it's a small project, tackling algorithms, or diving into a new language/framework, the goal is progress over perfection.

pair_trading_in_cryptocurrency icon pair_trading_in_cryptocurrency

The Python code employs historical Bitcoin and Ethereum prices to train a neural network model for cryptocurrency trading, executing buy or sell decisions based on predicted spreads. It evaluates the strategy's performance, visualizes training progress, and prints executed trades with associated probabilities.

webcrawler icon webcrawler

This project can be used to scrap product's price and title from E-commerce website (Using Java).

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