Resume of Benjamin Martinez
--Recent Work Experience--
Software Development Intern at Harvard Institute of Quantitative Social Science
Cambridge, MA, USA 5/2018 – 8/2018
Worked as member of the Dataverse Project Team. Dataverse is an open source web application used to share, preserve, cite, explore, and analyze research data. Primary responsibility was to implement changes to the Dataverse back-end code (primarily in Java) based on customer requests. Actively participated in team sprint planning and daily standup meetings, as well as weekly community conference calls with internal and external users focused on present and future project improvements and developments.
Installation Technician at Wildfire Technology
Hillsborough, NJ, USA 12/2018 – 6/2019
Main responsibilities included installing electronic equipment, (mounting televisions, speakers, microphones, touch panels) running wire, assisting as needed in daily automation integration operations.
--Education--
Rowan University, Glassboro, NJ
Bachelor of Science: Computer Science Major, 2019
Minor in Mathematics
--Skills--
Programming Languages: Proficient in Java, R. Have knowledge in HTML/CSS, JavaScript, SQL Server, MATLAB.
Data Science: R with Keras, Python with SciKit-Learn
Other: Microsoft Office, Stata, AutoCAD
--Projects, final year--
Brumby Code Redundancy Checker, Team Scrum Master, Spring 2019
The Brumby CRC was completed as a group project in the Software Engineering I Curriculum at Rowan University. The project utilized the Agile Manifesto guidelines. The Brumby CRC program is implemented through the terminal that allows a user to check for redundant code in any C++ or Java directories. Output includes the files that have redundant code with each other and the line numbers where the redundant code lies. As Scrum Master I coordinated team activities, led team meetings and set up appropriate software to be used in at each step of the project.
Traffic Sign Recognizer, Fall 2018
In this individual machine learning project, I designed a program that was able to recognize a variety of inputted street signs based on the training data it was given. A support vector machine (SVM) was used as the primary classifying algorithm and a convoluted neural network was used as an ideal to cross check the classifications from the SVM.
--Recent Work Experience--
Software Development Intern at Harvard Institute of Quantitative Social Science
Cambridge, MA, USA 5/2018 – 8/2018
Worked as member of the Dataverse Project Team. Dataverse is an open source web application used to share, preserve, cite, explore, and analyze research data. Primary responsibility was to implement changes to the Dataverse back-end code (primarily in Java) based on customer requests. Actively participated in team sprint planning and daily standup meetings, as well as weekly community conference calls with internal and external users focused on present and future project improvements and developments.
Installation Technician at Wildfire Technology
Hillsborough, NJ, USA 12/2018 – 6/2019
Main responsibilities included installing electronic equipment, (mounting televisions, speakers, microphones, touch panels) running wire, assisting as needed in daily automation integration operations.
--Education--
Rowan University, Glassboro, NJ
Bachelor of Science: Computer Science Major, 2019
Minor in Mathematics
--Skills--
Programming Languages: Proficient in Java, R. Have knowledge in HTML/CSS, JavaScript, SQL Server, MATLAB.
Data Science: R with Keras, Python with SciKit-Learn
Other: Microsoft Office, Stata, AutoCAD
--Projects, final year--
Brumby Code Redundancy Checker, Team Scrum Master, Spring 2019
The Brumby CRC was completed as a group project in the Software Engineering I Curriculum at Rowan University. The project utilized the Agile Manifesto guidelines. The Brumby CRC program is implemented through the terminal that allows a user to check for redundant code in any C++ or Java directories. Output includes the files that have redundant code with each other and the line numbers where the redundant code lies. As Scrum Master I coordinated team activities, led team meetings and set up appropriate software to be used in at each step of the project.
Traffic Sign Recognizer, Fall 2018
In this individual machine learning project, I designed a program that was able to recognize a variety of inputted street signs based on the training data it was given. A support vector machine (SVM) was used as the primary classifying algorithm and a convoluted neural network was used as an ideal to cross check the classifications from the SVM.