Projects & Publications
Bridging academia and industry through theory, ML and AI applications in economics and finance
Areas of Expertise
Machine Learning & Deep Learning
Applying machine learning and deep learning techniques across various domains, including financial markets, algorithmic trading strategies, and economic analysis. Leveraging industry experience from BlackRock to create practical applications in both research and education.
Time Series Forecasting
Specializing in advanced forecasting methods that combine classical time series models with modern machine learning and deep learning approaches, including ARIMA, LSTM, RNN, and transformer architectures. Applications include financial market prediction, economic forecasting, and risk modeling.
Analytics Solutions Center
As a project mentor at USU's Analytics Solutions Center, I guide student teams working on real-world data analytics projects for industry partners, providing experiential learning opportunities while solving practical business problems.
Current Projects
Analytics Solutions Center Projects
Role: Project Mentor • Duration: Ongoing
Focus: Real-world data analytics projects with industry partners
Mentoring student teams on industry-sponsored data analytics projects through USU's Analytics Solutions Center. Projects span various domains including finance, healthcare, retail, and government, providing students with hands-on experience in solving real business problems using machine learning and data analytics.
- Predictive modeling and analytics
- Data visualizations and dashboard solutions
- Machine learning and deep learning applications
- Forecasting tools and automation
- AI solutions and intelligent systems
Open-Source Educational Resources
Platform: GitHub • Access: Public
Repository: github.com/PJalgotrader
Developing and maintaining open-source educational materials for machine learning and deep learning courses. These resources include Jupyter notebooks, code examples, and practical exercises designed to help students master advanced concepts in machine learning, deep learning, and their applications in finance.
- Machine Learning in Economics and Finance
- Deep Learning Applications
- Deep Forecasting Methods
- Python for Data Science
Academic Publications
As a Professor of Practice, my focus is on applied teaching and industry collaboration rather than traditional academic research. My scholarly work emphasizes practical applications of machine learning in finance and the development of educational resources.