Ki Prokrym
About Ki Prokrym
Ki Prokrym is an Associate Data Scientist at Advance Auto Parts, with a background in data science and psychology. He has previously worked at Metis and NYU Langone Health, and holds multiple degrees in data science and related fields.
Work at Advance Auto Parts
Ki Prokrym has been employed at Advance Auto Parts as an Associate Data Scientist since 2022. In this role, he applies his data science skills to support the company's operations and decision-making processes. His work involves analyzing data to derive insights that can enhance business performance and customer experience. Prokrym's position reflects his commitment to leveraging data in the automotive retail sector.
Previous Experience at Metis
Prior to his current role, Ki Prokrym worked as a Data Scientist at Metis for a brief period in 2019. During his two-month tenure, he engaged in a full-time, ACCET-accredited immersive Data Science program. This program emphasized statistical inference, machine learning, programming, data visualization, communication, and project design. His experience at Metis contributed to his foundational knowledge in data science.
Education and Expertise
Ki Prokrym holds a Bachelor of Arts in Psychology and Pre-Medical studies from the University of Notre Dame, completed from 2009 to 2013. He further pursued advanced education in data science, earning a Master of Science from Stevens Institute of Technology in 2022 and another Master of Science from DataCamp, which he completed in 2023. Additionally, he has continuing education credentials in Data Science and Computer Science from the University of Connecticut, obtained in 2020.
Research Technician Role at NYU Langone Health
Before transitioning into data science, Ki Prokrym worked as a Research Technician at NYU Langone Health from 2013 to 2017. In this position, he contributed to various research initiatives, gaining valuable experience in data handling and analysis within a healthcare setting. His role involved supporting research projects, which laid the groundwork for his subsequent career in data science.
Machine Learning Projects
During his time at Metis, Ki Prokrym designed and implemented five end-to-end machine learning projects. These projects encompassed the entire data science workflow, including data acquisition, data cleaning, and the application of supervised and unsupervised learning techniques. He utilized regression, classification, and clustering methods to analyze data, demonstrating his practical skills in machine learning.