Information Technology Customer Service

Jordan Gil

East Brunswick, NJ 732-***-**** *****************@*****.***

EDUCATION

Rutgers UNIVERSITY New Brunswick, NJ

Bachelor of Arts Expected May 2025

Major in Information Technology and Informatics; Minor in Criminology Cumulative GPA: 3.75/4.0

Relevant Coursework: Data Analytics; Networking and Internet Technology; Object Oriented Programming; Information Security; Data Curation and Management; Database Technologies; Management of Technological Organizations WORK EXPERIENCE

Champs Sports East Brunswick, NJ

May 2023 – Jan 2024

● Provided exceptional customer service by assisting shoppers with product selection, sizing and our chases, enhancing the overall shopping experience.

● Processed transactions efficiently, including sales, returns and exchanges while handle cash and card payments

● Developed strong product knowledge to inform customers abouts new releases promotions, and trending footwear and apparel

● Worked collaboratively with team member to meet sales goals and prove overall store performance Target Corporation Milltown, NJ

Oct 2021 – Nov 2022

● Efficiently located, picked and packed guest orders for in store pickup and delivery, ensuring accuracy and timely processing

● Assisted guests with order relate inquiries and provided helpful information about store products and services

● Partnered with team members to meet fulfillment quotas, adapt to changing priorities and keep operations efficient during peak shopping times

UNIVERSITY PROJECTS

Data ETL Project Dec 2024

● Extracted movie data from a CSV file, including IMDB ratings, box office earnings and genre information

● Transformed data by calculating average IMDB ratings and total box office earnings for each genre, utilizing Python and Pandas for data cleaning and analysis

● Identified top rated movies, as well as categorized movies based on IMDB ratings

● Loaded the results into a CSV file and visualized the box office revenue by genre using a bar plot, saved as a PNG image for reporting purposes

● Documented the ETL process in a comprehensive report, detailing steps from data extraction to visualization Data Curation Project April 2025

● Performed full-cycle data wrangling and exploration on a large dataset using Python (Pandas, Matplotlib, Seaborn).

● Cleaned and normalized raw data to ensure accuracy and consistency, including handling missing values, outliers, and inconsistent formats.

● Conducted exploratory data analysis (EDA) to uncover trends, correlations, and distributions, presenting findings with effective visualizations.

● Demonstrated ability to assess dataset quality and relevance, apply schema definitions, and document data curation steps clearly.

● Emphasized data integrity and reproducibility through well-documented code and adherence to data management best practices.

Crime Data Analysis Project March 2025

● Analyzed crime rates across U.S. states using multivariable regression on 2022–2023 socioeconomic data.

● Cleaned and structured five datasets covering income, unemployment, drug use, mental health, and family structure.

● Identified key predictors with moderate to strong correlations (e.g., r = 0.42 for single-parent households).

● Regression model explained 23.66% of violent crime rate variance (R = 0.2366).

● Gained hands-on experience in statistical modeling, public data curation, and data interpretation. ADDITIONAL

Technical Skills:

Proficient in: Python, Pandas and Microsoft Office Familiar with: SQL, Wireshark, Linux, Matplotlib and Seaborn Link to projects: https://github.com/Ace23-3/Class-Projects

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