Sean McCarthy
Winthrop Harbor,IL
Summary
Results-driven professional with expertise in statistical analysis and data modeling. Demonstrated proficiency in technical and physical tasks, complemented by strong communication skills. Proven ability to excel in both independent and collaborative settings, fostering a positive work environment.
Overview
3
3
years of professional experience
Work History
Ticket Office Associate
Krannert Center for the Performing Arts
Urbana, IL
10.2023 - 07.2025
- Answered telephone inquiries from customers and vendors regarding ticket sales and office operations.
- Inputted data into computer systems in an accurate and timely manner.
- Greeted visitors at the front desk in a polite manner, while providing assistance when needed, including the sale of ticketed events.
Cook/Food Preper
Raising Canes
Champaign, USA
02.2023 - 06.2023
- Helped maintain a clean work environment by sharing and helping with cleaning duties for kitchen and bathrooms.
- Put together customer food orders to maximum customer satisfaction and in an efficient manner.
- Proficient skills in frying and food prep, gaining valuable kitchen and food service knowledge.
Warehouse Associate
Kelly Services
Pleasant Prairie, USA
06.2022 - 08.2022
- Navigated and located orders to be readied for shipment.
- Packed and sealed important Arvato customer orders.
- Proficient skills in unpacking and packing trucks and large shipments of items.
- Managed return orders in the Arvato computer system and checked quality insurance of orders.
Education
Statistics -
University of Illinois
Urbana-Champaign, IL05-2025
High School Diploma -
Antioch Community High School
Antioch, IL05.2019
Skills
- Data analysis and statistical modeling
- Customer service excellence
- Effective communication skills
- Team collaboration
- Efficiency and quality assurance in task completion
Projects
Predicting Diabetes using Regression Modeling in SAS
- Contributed to a team-based written report that took data from an existing data set, and used modeling techniques in SAS in order to predict the likelihood of someone having diabetes based on several different predictors, such as blood pressure, BMI, age, and income. Several types of regression modeling techniques were used and discussed, such as diagnostic plots, as well as ANOVA and t-testing.
Predicting Average Insurance Costs using Regression Modeling in R
- Created a solo report that used regression modeling techniques in R to attempt to predict the average insurance cost for a given person based on several different predictor variables, such as number of children, whether a person was a smoker, age, sex, and BMI. Several techniques found in regression model analysis were used and discussed, including diagnostic plots and ANOVA testing.
Timeline
Ticket Office Associate
Krannert Center for the Performing Arts
10.2023 - 07.2025
Cook/Food Preper
Raising Canes
02.2023 - 06.2023
Warehouse Associate
Kelly Services
06.2022 - 08.2022
Statistics -
University of Illinois
High School Diploma -
Antioch Community High School
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