Michael Buck
About Michael Buck
Michael Buck is a Data Conversion Engineer at CentralSquare Technologies, specializing in data conversion projects and utilizing tools such as Tortoise SVN and Pentaho. He has a background in Science Teacher Education and has completed a Data Science Career Track program, where he developed skills in data analysis and machine learning.
Work at CentralSquare Technologies
Michael Buck has been employed as a Data Conversion Engineer at CentralSquare Technologies since 2020. In this role, he is responsible for managing data conversion processes, ensuring that data is accurately transferred and transformed for client needs. His work is based in the Greensboro--Winston-Salem--High Point Area. Buck frequently collaborates with agency contacts and IT departments to obtain and restore backup databases, which are critical for successful data conversion.
Education and Expertise
Michael Buck earned a Bachelor's degree in Science Teacher Education/General Science Teacher Education from NC State College of Education, completing his studies from 2009 to 2013. He furthered his education in data science by participating in the Springboard Data Science Career Track program from 2018 to 2019. During this program, he completed two extensive data analysis projects that involved data cleaning, exploratory data analysis, and machine learning models.
Background in Teaching
Before transitioning to data conversion, Michael Buck worked as a Science Teacher at Rockingham County Schools from 2013 to 2019. His six years in education provided him with a strong foundation in scientific principles and analytical thinking, which he later applied in his data science and engineering roles.
Technical Skills and Tools
Michael Buck utilizes several technical tools in his data conversion work. He employs Tortoise SVN for version control in data conversion projects and uses Pentaho (formerly Spoon) as his primary ETL tool. Additionally, he has strong proficiency in using Ubuntu for command line tasks related to data conversion, enhancing his efficiency in managing data workflows.
Data Science Projects
During his time in the Springboard Data Science Career Track, Michael Buck completed two significant data analysis projects. These projects focused on data cleaning, exploratory data analysis, and the development of machine learning models. This experience has contributed to his skill set as a Data Conversion Engineer, allowing him to apply data science techniques in practical scenarios.