Michael Kutilek
About Michael Kutilek
Michael Kutilek is a Software Developer currently employed at Management Science Associates, Inc. since 2016 and has transitioned to a Data Engineer role at Highmark Inc. since 2019, focusing on data analysis and visualization tools, particularly in the context of Major League Baseball data.
Work at Management Science Associates
Michael Kutilek has been employed as a Software Developer at Management Science Associates, Inc. since 2016. In this role, he has contributed to various software development projects, applying his expertise in programming and data management. His experience at Management Science Associates has allowed him to enhance his technical skills and collaborate with a team of professionals in the software development field.
Education and Expertise
Michael Kutilek studied Computer Science at the University of Pittsburgh from 2014 to 2016, where he obtained his degree. He also pursued further education at the University of Illinois Urbana-Champaign from 2012 to 2014, earning another degree in Computer Science. Additionally, he completed an AI Programming with Python Nanodegree at Udacity in 2019, which focused on artificial intelligence and programming skills.
Background in Data Engineering
Michael has worked as a Data Engineer at Highmark Inc. since 2019. His responsibilities include developing ETL pipelines and working with Hadoop infrastructures. He has conducted extensive data analysis on Major League Baseball (MLB) data using tools such as NumPy, Pandas, and MatPlotLib. Michael has integrated his analyses into visual interfaces on a personal website, showcasing his ability to handle and present complex data.
Projects and Portfolio
Michael Kutilek has created a portfolio repository on GitHub that showcases his code for data analysis and visualization tools specifically related to MLB data. He has completed a project focused on AI Programming with Python, which involved image data classification and prediction models. His work includes utilizing web sources like FanGraphs, Baseball Savant, and Baseball Prospectus for data analysis, storing the data in a MongoDB database.
Career Transition Interests
Michael has expressed a strong interest in transitioning from a Data Engineer role to a Data Scientist position. He aims to leverage his skills in artificial intelligence and machine learning to enhance his career opportunities. This interest reflects his commitment to professional growth and adapting to the evolving demands of the technology industry.