Projects · Analytics Solutions Center
Applied work, real stakes.
Bridging academia and industry through machine learning and AI applications in economics and finance.
§ 01 — Focus areas
ML & DL
Machine Learning & Deep Learning
Applied across financial markets, algorithmic trading strategies, and economic analysis — grounded in industry experience from BlackRock.
Forecasting
Time Series Forecasting
Classical models through modern architectures: ARIMA, LSTM, RNN, and transformers, applied to market prediction, economic forecasting, and risk.
ASC
Analytics Solutions Center
Guiding student teams through real data analytics projects for industry partners — experiential learning that solves actual business problems.
§ 02 — Current projects
Project mentor · ongoing
Analytics Solutions Center Projects
Mentoring student teams on industry-sponsored analytics projects through USU's Analytics Solutions Center, spanning finance, healthcare, retail, and government — hands-on experience solving real business problems with machine learning.
Project areas
- Predictive modeling and analytics
- Data visualization and dashboard solutions
- Machine learning and deep learning applications
- Forecasting tools and automation
- AI solutions and intelligent systems
GitHub · public · github.com/PJalgotrader
Open-Source Educational Resources
Jupyter notebooks, code examples, and practical exercises for machine learning and deep learning — free for anyone to learn from.
Course materials available
- Machine Learning in Economics and Finance
- Deep Learning Applications
- Deep Forecasting Methods
- Python for Data Science
§ 03 — Publications
Scholarship of practice
Applied over archival
As a Professor of Practice, my focus is 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 open educational resources.