Welcome to my GitHub portfolio! Here, you'll find a selection of projects that highlight my work in machine learning, software development, website design, and stock trading. With each project, I strive to create impactful solutions that meet both technical and business needs.
A Python library for running machine learning backtests, designed to streamline the process of testing and evaluating trading strategies.
Tech Stack: Python
Highlights:
- Simple Installation: Install via pip for quick setup: pip install ml-backtest
- Powerful Backtesting: Includes robust tools for testing strategies with machine learning.
- Documentation & Support: Comprehensive guides to get you started quickly.
A no-code, Docker-deployed app for running backtests using the ML-Backtest Python library, simplifying machine learning backtesting for non-coders.
Tech Stack: Python, Docker
Features:
- Easy Deployment: Get started with backtesting in a few clicks.
- Machine Learning Integration: Supports ML-based strategy testing for optimized results.
Developed a website that boosted customer reach for a local business, attracting over 50 new customers per week.
Tech Stack: Vue.js, Python, and Docker
Features:
- Enhanced Customer Engagement: Intuitive UI design focused on user engagement.
- High-Conversion Design: Features designed to attract and retain customers.
- Computer Science
- White Collar Crime
- Computer Security
I'm constantly looking to expand my skill set and take on challenging projects that merge technology with real-world impact.
Thank you for stopping by! Feel free to explore my work, star a project, or reach out to chat about tech, trading, and AI! 😊