Ali Asadpoor

I’m a Computer Science student at Toronto Metropolitan University, minoring in Economics. I specialize in quantitative research, financial computation, and data analysis, and I’m passionate about using data to solve complex problems in financial markets.

Here are some key skills and achievements that I bring to the table:

• Proficiency in Python, R, and Matlab, applying advanced quantitative techniques such as Bayesian inference and predictive modeling to optimize investment strategies.
• Developed machine learning tools for portfolio management, processing data for over 5000 stocks, and improving investment strategies.
• Participated in algorithmic trading competitions, achieving a 24% portfolio return through delta hedging and derivatives pricing models.
• Hands-on experience in automating workflows and processing large datasets, enhancing operational efficiency with data visualization tools (Power BI, Matplotlib).
• Experience in quantitative finance, financial modeling, and algorithmic trading, with a focus on delivering actionable data-driven insights.
• Certified in Python for Data Science, Bayesian Statistics, and Algorithmic Trading.

I’m driven to apply my skills in quantitative finance and algorithmic trading to contribute to innovative projects. I’m excited to collaborate with teams on cutting-edge financial solutions. Feel free to reach out if you're looking for someone to tackle data-driven challenges in finance and technology.