Sean T. Paradiso
firstname.lastname@example.org l www.linkedin.com/in/sean-paradiso-10b44713b
Highly analytical and detail-oriented applied sciences graduate with extensive education in the fields of Time Series Analysis, High-Performance Computing, Machine Learning, Mathematical Modeling, and Data Mining. With exposure to Parallel Computing, Hadoop, and Big Data working in Windows and Linux systems.
Python and Java
CUDA and Thrust
R, SAS, and JMP
Advanced Regression Analysis
Statistical Computing Methods
Design & Analysis
CHAPMAN UNIVERSITY l Orange, CA l MS in Computational and Data Sciences with a focus in Analytics and Applied Mathematics l 2013 – 2017
UNIVERSITY OF NEW HAMPSHIRE l Durham, NH l BS in Interdisciplinary Mathematics & Economics l 2008 - 2012
Experienced user of Microsoft Office Suite, SAS, SQL, R, C/C++, CUDA, Java, Python, Tableau
POWERSPAN Portsmouth, NH
Electrical Design Drafter, 2006 - 2009
Worked as CAD drafter in support of the electrical and I&C departments reconciling original design records with engineering change notices (ECN’s), updating of all “as built” redlines, as well as generating new drawings from engineering verbal direction and/or sketches.
Updated the company’s instrumentation database. Database updates generally followed the changes reflected in the drawings and these two activities had to be carefully coordinated.
Electrical Drafting: Upon completion of my summer tenure the entire electrical and I&C drawing set for an industrial installation was revised, routed for final review and approval and submitted to the client as part of the closeout records. Outcomes:
-Generated in excess of 100 drawings.
-Contributed more than 70% to the generation and data entry of the instrument and cable database for an industrial installation.
Manufacturing and Testing: Wired an industrial control cabinet containing both low voltage (PLC processor, I/O cards and control hardware) and medium voltage (480 VAC motor drives) in accordance with engineering drawings
-Successfully conducted factory acceptance testing (FAT).
Field Service Engineering: Conducted supervised troubleshooting and repair at an industrial site of power electronics components on a 500 kW custom power supply.
-Use of common electrical test equipment (volt/ohm/amp meters) and the repair process included replacement of high power semiconductor components followed by testing and commissioning.