IT Specialist

Andrew D. Horgan

Address: ** ******** ***, ********** **** Phone: 413-***-**** Email: ********@*****.*** Summary of Qualifications:

IT technician and student at Suffolk University. Leveraging current learning for the automation of repeatable IT tasks and building a foundation for a future career in software development. Technical Proficiencies: Python, Java, Javascript, Selenium, Pandas, Numpy, Git, and Linux. Education:

- Suffolk University: BSGS (2018-2020)

Computer science concentration with extracurriculars in CS club and full time work schedule.

- Holyoke Community College, MA (2010-2012)

Communications major, maintained a 3.75 gpa while working full time as a production assistant. Relevant Work Experience:

Suffolk University: Classroom Technology and Media Specialist (2017-Present)

- Maintained and troubleshot a/v networks and installed systems. Managed undergraduate lecture recording and file hosting for integration with Blackboard.

- Provided technical support and services to clients during daily classes and events.

- Trained and supervised staff using various technology platforms. Harvard Kennedy School: A/V Technician (December 2016-June 2017)

- Acted as client liaison while operating Crestron a/v systems for events and forums while managing a/v assets for event coordinators and event speakers. Operated cameras and recorded events for the school. Formatted media for upload to school FTP system. Event Sound and Video: Technical Director (2012-2016)

- Built and ran video switching systems for large conferences and corporate meetings for high profile clients such as Fidelity, Constant Contact, Carbon Black, and high end galas.

- Major duties included troubleshooting, set up, operation, and breakdown of video, audio, and IMAG camera systems, as well as the creation and integration of multimedia content for clients. Projects and Awards:

- Suffolk University Transit Screen: Designed and wrote a javascript web app to predict incoming trains to surrounding stations using the MBTA REST API to be displayed on campus screens.

- Lecture capture automation: Created automated workflow of lecture capture system using Python script to navigate file directory to rename and migrate data. Used JSON meta-data cross referenced with CSV files to accurately identify and label lecture recordings.

- 2018 IBM Vault challenge winner.