Samuel Chodur Jr.

Samuel Chodur Jr.'s work experience includes serving as a Scientist at ENSCO, Inc., where they were the technical lead on experimental studies and provided scientific and technical support to various teams. Samuel also designed and developed a backend system for data streams using the Fast API framework. Prior to that, they worked as a Scientific Applications Specialist in the US Air Force Reserve, monitoring multiple networks composed of sensors. Samuel also worked as a Data Analyst at Leidos, where they developed signal processing techniques and processed large data sets. In the United States Air Force, they served as a Manager of Geophysical Analysts, where they established capabilities for a working group, built collection and analysis tactics, and guided a significant budget. Samuel also worked as a Line Supervisor of Seismic Operations, managing Airmen and analyzing critical seismic and hydroacoustic data. Samuel also worked as a Geophysical Data Analyst at ENSCO, Inc., providing peer review and documenting software defects.

Samuel Chodur Jr. has a strong educational background in both Electrical Engineering and Information Technology. Samuel attended Penn State University from 2004 to 2009, where they obtained a Bachelor of Science (BS) degree in Information Technology. Afterward, they pursued further education at the University of Central Florida from 2016 to 2021, earning a Bachelor's Degree in Electrical Engineering with a focus on the Communication & Signal Processing track.

In addition to their formal education, Samuel Chodur Jr. has also obtained several certifications related to data science and Python programming. Samuel completed the "Applied Data Science Capstone" and "Applied Data Science Specialization" courses offered by Coursera in June 2020. Samuel also completed courses such as "Data Analysis with Python," "Data Visualization with Python," and "Python for Data Science and AI," all from Coursera, in April 2020. Additionally, they obtained a certification in "Python Basics" from the University of Michigan in May 2019. These certifications further highlight their expertise in data analysis and programming using Python.