Sean Roginski

Associate Data Scientist & Software Developer

Phone: (765)-490-3675
Email: sroginski@eigenvector.com

Education:

M.S. Data Science, University of North Carolina Wilmington, 2020.
B.A. Computational Mathematics, Wabash College, 2019.

Experience:

May 2020-August 2020, Software Development Intern, Eigenvector Research INC, Wenatchee, WA. Assisted in the production of the Python Software Development Kit for automated communication via Solo_Predictor/Solo.

May 2020-December 2020, Practicum Team Lead, GE Hitachi, Wilmington, NC. 

Created pipeline for outlier removal for further analysis on data from nuclear reactors.

May 2017-Present, LON-CAPA Programmer, Purdue University, West Lafayette, IN. 

Create and maintain online homework problems for MAT-153 course.

Publications:

Yang Song, Yunkai Xiao, Jonathan Stephens, Emma Ruesch, Sean Roginski, and Lucas Layman. 2020. Suitability of SCS1 as a Pre-CS2 Assessment Instrument: A Comparison with Short Deliberate-practice Questions. In 2020 ACM Southeast Conference (ACMSE 2020), April 2–4, 2020, Tampa, FL, USA. ACM, New York, NY, USA, 2 pages. https://dl.acm.org/doi/10.1145/3374135.3385321