Jack Richard Rager
Jack Rager
Industrial Engineering Graduate
Atlanta, GA
jackr.rager@gmail.com
(678) 502-0711
Programming Skills
Excel
Python
SQL
JavaScript
Language Skills
English
Spanish
Japanese
Education
Georgia Institute of Technology / Atlanta, GA
August 2016 - December 2020
- GPA: 3.88
- Major: Industrial and Systems Engineering
- Minor in Spanish Language
- Concentration in Finance
Work Experience
Business Analyst II, Data Governance / PlayStation - Sony Interactive Entertainment
Dec 2022 - Present
Operationalize privacy requirments to business processes. Review modifications to consumer data collection.
Technical Implementation Consultant / Onetrust LLC
Jan 2021 - Nov 2022
Provided expert services for compliance with global Data Privacy legislation and insights into personal data collection. Integrated with CRM and Databases to provide a centralized privacy platform for marketing and communication channels. Increased client revenue opportunities and lead conversion by developing customer interfaces for preference management.
Data Analyst Intern / Georgia Tech PACE
(Partnership for an Advanced Computing Environment)
Jun 2020 - Dec 2020
Conducted data analysis on the High Performance Computing team for the PACE High Performance Computing project at Georgia Tech. Utilized Spark to analyze big data for the scheduling of computing jobs by Georgia Tech faculty and postdoctorate researchers.
Inbound Process Redesign Capstone Project / HD Supply, Inc.
Jan 2020 - May 2020
Georgia Tech ISYE Senior Design project.
Solutions and Implementations Co-op / Epicor Software
May 2018 - Aug 2019
Consulted current clients on Epicor’s Warehouse Management System to improve order fulfillment and inventory accuracy. Implemented software at a manufacturing operation in Sacramento, CA to decrease lead times and improve operations.
Product Testing Analyst / Nike Inc.
Apr 2017 - Present
Complete a multitude of 8 to 14-week testing periods on future iterations of flagship Nike running shoes.
Projects
Routelanta Go to app
Oct 2019 - Dec 2019
Running route Web Application, utilized a Python backend for API calls on running GPS data and machine learning techniques to classify route difficulty. Visualized data using Leaflet and D3 JavaScript libraries while enabling user interactivity for routes across Atlanta.
