Emmanuel Kensese
DES MOINES,WA
Summary
Detail-oriented computer science graduate and U.S. Army veteran with hands-on experience in Python, Java, and Streamlit. Developed a hazardous waste management prototype utilizing image classification and data visualization. Led a donation recovery initiative that diverted over 33,000 pounds of products, demonstrating strong project ownership and collaborative problem-solving skills.
Overview
6
6
years of professional experience
Work History
Environmental Specialist / Waste Coordinator
Amazon
Kent, Washington
04.2021 - Current
- Performed environmental inspections for recycling, stormwater, and spill control areas.
- Handled hazardous waste safely and followed proper storage practices.
- Assisted in supporting Amazon fulfillment site environmental compliance and regulatory paperwork.
- Checked damaged liquid food pallets and sorted waste to find products suitable for donation instead of disposal.
Hazwaste Coordinator
Donation Recovery Project
Kent, Washington
07.2023 - 08.2023
- Owned a project to clear the liquid food staging area and recover undamaged products; the project saved 33,867.59 pounds of products for donation, valued at approximately $88,688.03.
- Documented staging constraints and product damage causes, proposing recurring team schedule and inspections to enhance donation recovery.
- Down-stacked and inspected 27 pallets to identify recoverable items, ensuring maximum product recovery.
- Adjusted daily priorities based on pallet size and staffing, coordinating coworker support for larger pallets to maintain workflow.
Education
Bachelor's Degree - Computer Science
City University of Seattle
Seattle, WA06-2026
Skills
- Programming languages: Python and Java
Application tools: Streamlit
Project experience: CNN image classification
Data visualization techniques
Sensor monitoring forecasting
- Waste management
Languages
English and French: Fluent | Spanish: Intermediate | Lingala: Conversational
Technical Project
AI Driven Hazardous Waste Management | Capstone Prototype, Developed an interactive Streamlit dashboard combining hazardous and non-hazardous waste image classification, confidence visualization, simplified IoT-inspired monitoring, and forecasting visualization., Organized an image dataset into hazardous and non-hazardous categories, with 80 images per class, for the classification component., Used simulated sensor data to demonstrate monitoring of temperature, gas concentrations, and leakage in a hazardous waste management workflow.
Military Service
- U.S. Army | Combat Engineer | MOS 12B
- Service dates: 04/01/2016-03/31/2024
- Duty station / unit: 455th Engineer Company
Timeline
Hazwaste Coordinator
Donation Recovery Project
07.2023 - 08.2023
Environmental Specialist / Waste Coordinator
Amazon
04.2021 - Current
Bachelor's Degree - Computer Science
City University of Seattle