Paul Drabinski is the Director of Data Science at TIFIN AMP. As the founding Data Scientist at TIFIN AMP, he has been developing our data lake and proprietary machine learning algorithms since day 1. Essential to this is his wide experience in business analytics and data science. Previously, he was a key contributor to the Google Shopping forecast model, delivering weekly predictions that enabled Finance, Operations, and Marketing teams to make data-driven strategic decisions. At a large Telecom firm, he leveraged Natural Language Processing models to introduce advanced trend monitoring and sentiment analysis, transforming how Customer Support and Operations teams listened to their customers. Today, his focus is on scaling TIFIN AMP's data science capabilities to meet the growing needs of our existing and new customers.

Paul holds a Master's in Computer Science with a specialization in Interactive Intelligence from the Georgia Institute of Technology. His academic focus on Machine Learning for Financial Trading, Human-Computer Interaction, and Artificial Intelligence directly informs his innovative approach to data science at TIFIN AMP.

When the weather is nice (which it usually is in CO), he can be found biking, skiing, or hiking in the mountains with his fiance. Otherwise, he might be reading or playing piano.