Ariana Schurig

Bountiful,UT

Summary

Energetic and collaborative individual with passion for teamwork. Offering a excellent foundation in statistical analysis and data interpretation with a strong willingness to learn and grow. Contributes a solid grasp of data visualization tools and techniques, such as Python and SQL. Ready to use and develop analytical and problem-solving skills in the Data Science Intern role.

Overview

year of professional experience

Work History

Guest Empowerment Team Member

Breeze Airways

01.2024 - Current

Worked effectively in fast-paced environments, maintaining professionalism under pressure while resolving disputes with kindness and attention to detail.
Worked as part of the Communications Team to monitor flight disruptions, proactively update Breeze Guests about their flights, and communicate relevant information to GET, GOAT, IOCC, Marketing, and the airport stations.

Analytics Intern

Halloren Chocolate Factory

05.2024 - 08.2024

Conducted data analysis on products to assist with promotional campaigns.
Analyzed conversion rates in Amazon Marketplace.
Conducted ad hoc analyses as requested by team members, addressing specific business concerns and delivering actionable insights promptly.
Contributed to the development and maintenance of data dashboards for long-term use.

Education

Bachelor of Arts - Data Analytics

Utah State University

Logan, UT

12-2025

Skills

SQL programming
Python programming
Data warehousing and dbt implementation
Statistical modeling and machine learning

Tableau data visualization
Excel
AWS
Teamwork and collaboration

Projects

Breeze Airways Gladly Insights Dashboard

Tools: Tableau & Tableau Prep / Gladly data
Summary: Built a dashboard using Breeze customer service data from Gladly to surface actionable insights around resolution times and trending support topics. Enabled airline leadership to identify bottlenecks and improve response workflows.

Data Engineering Pipeline with dbt & Snowflake

Tools: dbt / Snowflake / SQL
Summary: Designed and implemented a data pipeline that extracts raw transactional data, performs transformations using dbt models, and loads clean datasets into Snowflake.

Stock Market Trend Analysis

Tools: Python / Alpha Vantage API
Summary: Developed a Python-based tool to query financial APIs and analyze historical stock data for performance trends and moving averages.

Languages

German

Full Professional

Timeline