Kyron Turner
East Brunswick, NJ ***** 551-***-**** *********@*******.***
Resume Summary
Computer Science senior student with over 2 years of customer-facing experience, technology, and service roles. Skilled in advising and assisting diverse individuals, managing sensitive information. Experienced in internet technology, coding, customer support, data management, data input, and problem-solving.
Skills
● Customer Support & Troubleshooting
● Software Installation & Configuration
● Phone & Email Communication
● Problem Solving & Conflict Resolution
● Microsoft Office Suite (Excel, Word, Outlook)
● Windows OS
● Languages: Python, Java, C++, JavaScript, HTML5, SQL
● Data Entry & Documentation Review
● Customer Service & Communications
● Technical Troubleshooting
● Information Technology
● Database Management
Work Experience
Board of Elections Associate
Hudson County Clerk's Office – Jersey City, NJ Sep 2020 – Jan 2021
● Verified voter eligibility and assisted with voter registration and support.
● Entered sensitive voter information into the system ensuring legal compliance.
● Provided technical support for electronic and manual systems and assisted users in person.
Retail Sales Associate
ZARA – Jersey City, NJ Jun 2021 – Aug 2021
● Maintained the sales floor and managed customer inquiries with professionalism.
● Assisted with inventory management, product displays, and merchandising.
Softlines Sales Associate
Sears – Jersey City, NJ Sep 2018 – Mar 2019
● Supported customers with product knowledge and
troubleshooting.
● Maintained stockrooms and merchandise presentation. General Camp Counselor
City of Bayonne – Bayonne, NJ Summers 2015 – 2016
● Supervised children ages 4–13 and supported those with special needs.
● Assisted in daily logistics, meals, and recreational activities. Education
Bachelor of Science in Computer Science
Rutgers University – Newark, NJ May 2025 GPA: 3.0 Associate of Science in Computer Science
Hudson County Community College – Jersey City, NJ May 2021 Dean’s List; GPA: 3.5
Machine Learning Data Prep Capstone Project– (Rutgers University, 2024) Collaborated on a senior project using GitHub and data provided by the project manager to develop an interface that facilitates the preparation of data for machine learning models. The platform was designed with the following features and functionalities:
● Data Loading and Identification: Allowed users to upload multiple data files simultaneously, with the system automatically identifying whether each file contained time-series data or non-time-series observations.
● Time-Series Feature Extraction: Implemented a flexible process for transforming time-series data into discrete features using Python libraries such as tsfel and tsfresh. Users could select their preferred library for feature extraction.
● Data Organization: Enabled the conversion of data from various file formats into a unified array or matrix format suitable for model training.
● Customizable Workflow: Provided an interface for merging data from multiple files and tailoring the feature extraction process based on user preferences. Instructors: Professor Kahanda & Dr. Denault