Raleigh Riehle
Pittsburgh,PA
Summary
Eager Kitchen Hand known for cleaning workstations, handling dish washing duties and monitoring inventory. Well-trained to keep kitchen well-stocked and ready for busy mealtimes. Considered motivated employee with positive attitude.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Kitchen Leader
Chipotle
Pittsburgh, PA
12.2024 - Current
- Supervised kitchen operations to ensure compliance with food safety and sanitation standards.
- Trained staff on food preparation techniques and menu item specifications.
- Managed inventory levels, reducing waste through efficient stock rotation practices.
- Collaborated with team members to maintain high-speed service during peak hours.
- Fostered a positive work environment by promoting teamwork and communication among staff.
- Reduced kitchen accidents by maintaining high standards of cleanliness and organization.
Education
Certificate - Accounting
Community College of Allegheny County
Pittsburgh, PA05-2027
Bachelor of Science - Mathematics
Slippery Rock University of Pennsylvania
Slippery Rock, PA05-2024
Skills
- Excel – proficient user
- Python – Implemented Pandas for statistical analysis
- SQL – Introductory knowledge
- Time management
- Dedicated work ethic
- Teamwork and collaboration
- Multitasking Abilities
- Basic recordkeeping
Certification
ServSafe
Timeline
Kitchen Leader
Chipotle
12.2024 - Current
Certificate - Accounting
Community College of Allegheny County
Bachelor of Science - Mathematics
Slippery Rock University of Pennsylvania
RELEVANT COURSE EXPERIENCE
Financial Accounting | August 2025-December 2025
- Practiced the basics of double-entry bookkeeping
- Examined various inventory valuation methods (FIFO, LIFO, and weighted average) and their impact on financial statements
- Gained expertise in the principles of revenue recognition in accordance with applicable accounting standards
Data Mining and Analysis | August 2023-December 2023
- Used pandas to create a k-means cluster analysis that grouped the 5000 richest individuals by variables such as country of origin, industry, age, etc.
- Created example data sets using SQL
- Learned key concepts related to data mining