Mohammed Mahdi
Amsterdam,Netherlands
Summary
Accomplished professional with expertise in data visualisation and reporting, known for exceptional communication proficiency and client satisfaction monitoring. Demonstrates strong data entry proficiency and a keen ability to optimise workflows, enhancing operational efficiency. Committed to leveraging skills to drive organisational success and deliver high-quality results.
Overview
4
4
years of professional experience
Work history
Front Desk Receptionist
Tourist-inn Hotel
Amsterdam, North Holland
12.2024 - Current
Greet and check in an average of 30+ guests daily while maintaining a high level of accuracy in records and transactions.
Organize and manage front office workflows to improve efficiency and guest satisfaction.
Resolve customer inquiries promptly by analyzing issues and coordinating solutions across departments.
Process payments and maintain detailed logs to support clear reporting and accountability.
Cashier
FEBO
Amsterdam, North Holland
11.2023 - 12.2024
Processed transactions accurately and efficiently during peak hours.
Provided friendly service and resolved customer questions.
Operator
Picnic
Utrecht, Provincie Utrecht
10.2021 - 11.2022
Operated scanning equipment and processed orders in a fast-paced environment.
Supported accurate inventory tracking and workflow coordination.
Activities Assistant
Welcome in Utrecht
Utrecht, Provincie Utrecht
01.2022 - 07.2022
Organized and led group activities to support resident engagement and well-being.
Delivered one-on-one assistance to individuals with special needs.
Education
Bachelor - Data Science
Inholland University of Applied Sciences
Amsterdam, North Holland 09/2023 - 07/2027
Skills
- Data Visualization & Reporting
- Communication proficiency
- Client satisfaction monitoring
- Data entry proficiency
- Workflow Optimization
Languages
English
Advanced
Arabic
Native
Dutch
Upper intermediate (B2)
Hungarian
Intermediate (B1)
Personal Information
Custom
Operations Analysis Project – KLM Engine Services
Amsterdam, Netherlands
2025
- Conducted a performance analysis of the engine maintenance workflow to determine the optimal Work-In-Progress (WIP) level that maximizes total annual engine deliveries.
- Modeled two contrasting scenarios: low-WIP with minimal lead time but low utilization, and high-WIP with high utilization but increased waiting time.
- Analyzed the trade-offs between throughput, capacity utilization, and process delays to identify the ideal WIP (e.g. 30, 40, or 60 engines) for maximizing output.
- Provided actionable insights for balancing shop floor efficiency and delivery timelines to enhance overall productivity at KLM Engine Services.
Timeline
Front Desk Receptionist
Tourist-inn Hotel
12.2024 - Current
Cashier
FEBO
11.2023 - 12.2024
Activities Assistant
Welcome in Utrecht
01.2022 - 07.2022
Operator
Picnic
10.2021 - 11.2022
Bachelor - Data Science
Inholland University of Applied Sciences
09/2023 - 07/2027
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