About

Nicholas Hespe is an accomplished Machine Learning Engineer with a focus on Auction Systems, currently working at PulsePoint, a leading provider of personalized health information. With over 3 years of experience in the field, he has a strong background in ML, AI, Data Science, and Data Engineering. Nicholas began his career as a Data Engineering Intern at Enigma Technologies, Inc. before transitioning into the role of Data Scientist. Here, he gained valuable experience in industry-leading data science and proprietary machine learning, transforming thousands of online and offline data sources into a single point of integration for all of the alternative small business data required. Currently, at PulsePoint, Nicholas is tasked with optimizing the Auction Mechanics Systems within the Ad. RTB Exchange. He is responsible for accelerating data and programmatic technology to deliver contextually relevant and personalized health information, in the moment. Nicholas holds a Master of Computer Science from the New York University - Courant Institute for Mathematical Sciences, specializing in Machine Learning and NLP. He also holds a Bachelor of Arts (B.A.) from New York University, with a major in Economics and minors in Statistics and Computer Science. With a strong Tech Stack, including ML, AI, Data Scientist, Research Scientist, Integration, and Data Engineering, Nicholas is well-equipped to handle complex problems in the field. He is a proactive team player with excellent communication skills and a passion for delivering high-quality results.