Summary
Overview
Work History
Education
Skills
Additional Information
Projects
Timeline
Generic

Arik Rorie

Minneapolis,MN

Summary

I am an Associate Business Manager at Acosta, managing a $155M portfolio in food and beverage sales, leveraging data-driven insights and Power BI to optimize strategies. In addition to my business expertise, I specialize in football analytics, having worked on the NFL Big Data Bowl project to analyze defensive formations and offensive line protection schemes using Python. I also developed a computer vision model to track player movements and enhance scouting insights. My skills combine data science, football strategy, and a strong understanding of game dynamics.

Overview

1
1
year of professional experience

Work History

Associate Business Manager

Acosta
11.2024 - Current
  • Manage a portfolio of brands generating $155M+ in annual food and beverage sales, leveraging data-driven insights to drive category growth
  • Develop reports and dashboards in Power BI and Excel to analyze product performance and optimize assortment strategies
  • Oversee data management within Target systems, ensuring accuracy in product specifications, financials, and reporting
  • Support the setup process for Roundel Media Studios (RMS), helping brands navigate Target’s media ecosystem for optimized marketing impact
  • Collaborate on line reviews, using market trends and sales data to identify white-space opportunities and recommend strategic growth initiatives

RMS Support Team

Target
05.2024 - 11.2024
  • Assisted in launching a new media initiative, successfully onboarding 700+ accounts and generating over $1 million in revenue within the first few months.
  • Configured and maintained user accounts, providing ongoing technical support for various clients.
  • Utilized Jira to manage tasks and track issues, ensuring timely communication and resolution of technical challenges.
  • Conducted performance analysis using data-driven insights, helping senior management improve overall operational efficiency.
  • Collaborated cross-functionally with internal teams to ensure systems met user needs and supported business objectives.

Education

Bachelor of Arts - Computer Science

Saint John’s University
Collegeville, MN
05.2023

Skills

  • SQL
  • Python
  • Power BI
  • OpenCV
  • Deep Learning
  • Data Warehousing
  • Player Tracking Data
  • Machine Learning
  • Computer Vision
  • Data Analysis

Additional Information

Played football for 13 years, developing a deep understanding of game strategy, team dynamics, and player performance.

Projects

 NFL Big Data Bowl Project


  • Analyzed player tracking data to study how defensive alignments influence offensive line protection schemes.
  • Utilized Python to process and visualize large datasets for strategic football insights.
  • Developed predictive models to assess how defensive formations impact center turn direction and protection schemes.
  • Presented findings to football analytics communities, demonstrating actionable insights for defensive strategy.
  • Project available at: Chaos Engineered


 Computer Vision Project


  • Designed and implemented a computer vision model to analyze game film and extract player movements.
  • Developed image processing algorithms to track player positioning and interactions in different formations.
  • Utilized OpenCV and deep learning frameworks to improve tracking accuracy and automate data extraction for scouting insights.
  • Integrated outputs with traditional player tracking data to enhance understanding of offensive and defensive schemes.

Timeline

Associate Business Manager

Acosta
11.2024 - Current

RMS Support Team

Target
05.2024 - 11.2024

Bachelor of Arts - Computer Science

Saint John’s University

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