Picture of Me!

Hey! I'm Anthony McCrovitz ðŸ‘‹

I’m a proud Boilermaker at Purdue University, combining my passion for Computer Science and Entrepreneurship & Business to build code-driven solutions that (hopefully) make a positive impact on the world.

When I’m not coding or brainstorming startup ideas, I’m probably hitting the gym, heading out for a run, carving up snowy slopes, cheering on the St. Louis Cardinals, or diving into a great book.

At heart, I’m about bridging technology with real-world needs—helping businesses thrive, fostering innovation, and making daily life a bit brighter.

If you want to chat about tech trends, compare workout tips, or geek out over the next Cards game, let’s connect!

This is my technology stack

Html Logo
HTML
CSS Logo
CSS
JavaScript Logo
JavaScript
TypeScript Logo
TypeScript
Java Logo
Java
Python Logo
Python
React Logo
React
C++ Logo
C++
R Logo
R
Tailwind Logo
Tailwind CSS

Here are some of my projects

  • Car subscription project

    Airbnb Clone

    Next.js 13, Tailwind CSS, Prisma, MongoDB, NextAuth

    Developed a comprehensive Airbnb-inspired web application using Next.js 13, showcasing end-to-end functionality from property listings to bookings. Implemented modern web technologies including React, TailwindCSS, Prisma, MongoDB, and NextAuth for robust user authentication.

  • Stock Prediction Project

    Stock Market Prediction Project

    Python, scikit-learn, pandas, NumPy, Matplotlib

    Built a machine learning model to predict stock prices using historical data. Leveraged Python libraries like scikit-learn and pandas for data processing and analysis. Visualized trends and insights using Matplotlib, showcasing the potential of predictive analytics in financial markets.

  • Metaverse Madness screenshot

    Metaverse Madness Website

    Next.js 13, Tailwind CSS, Framer Motion

    Metaverse Madness is a cutting-edge Web 3.0 application enabling immersive exploration of the digital metaverse. Built with Next.js 13 and Framer Motion, it offers seamless navigation within virtual reality spaces on the blockchain.

  • MLb War Prediction

    MLB WAR Prediction

    Python, TensorFlow, pandas, Matplotlib

    Developed a machine learning model to estimate MLB players' Wins Above Replacement (WAR). Processed and analyzed baseball datasets with Python, applying TensorFlow for model development. Created visualizations to interpret model performance and provide actionable insights for player valuation.