David Koleczek
About David Koleczek
David Koleczek is a Data Scientist at MassMutual in Amherst, Massachusetts, with a background in computer science from the University of Massachusetts Amherst.
Title
David Koleczek currently holds the position of Data Scientist at MassMutual. He is based in Amherst, Massachusetts, United States.
Company
David Koleczek is employed at MassMutual, where he works as a Data Scientist. MassMutual is a well-known insurance provider and financial services company.
Previous Experience
Before joining MassMutual, David Koleczek worked as a Data Science Intern at ISO New England Inc. He was part of the IT Day-Ahead and Related Markets Applications team from 2017 to 2020 in Holyoke, MA. During his internship, he gained exposure to critical data science concepts and applications relevant to the energy market.
Education and Degrees
David Koleczek pursued his education at the University of Massachusetts Amherst. He earned a Bachelor's degree in Computer Science, studying from 2016 to 2020. Subsequently, he continued his education at the same institution, achieving a Master's degree in Computer Science from 2020 to 2022. While a graduate student at UMass CICS, he focused on advanced studies in computer science.
Key Contributions at MassMutual
At MassMutual, David Koleczek developed a custom Barra-style factor risk model for the company's funds. This model focuses on active risk decomposition and quantitative portfolio optimization. Additionally, he led the migration of a proprietary factor risk system from RShiny to a Django-based framework. This project enhanced collaboration with software engineers. David also created an algorithm to fine-tune corporate default prediction models based on current macroeconomic conditions.
Founder of mlfeed.tech
David Koleczek is the founder of mlfeed.tech, an app designed to keep users updated on the latest developments and news in machine learning. This initiative highlights his passion for continuous learning and staying abreast of new advancements in the field of machine learning.