Agnes Folga

I am an Associate Data Scientist with a strong foundation in machine learning and data analysis, currently working at Northern Trust. My role involves developing and implementing advanced machine learning models, such as LightGBM, to enhance treasury forecasting accuracy and optimize investment strategies. I take pride in my ability to transition traditional forecasting methods to innovative predictive modeling, incorporating macroeconomic conditions and financial indicators.

My experience includes collaborating with cross-functional teams to leverage cloud infrastructure and AI tools, driving innovation in data science solutions. I have a solid educational background with a Master's in Computer Science from the University of Illinois at Chicago and a Bachelor's from the University of Minnesota. I am continuously exploring cutting-edge developments in deep learning, focusing on architectures like Kolmogorov-Arnold Networks and extended Long Short-Term Memory (×LSTM) models.