Ayoub MahdoudouProcess excellence
DMAIC · SIPOC · Process mapping · Standardization
Industrial engineer · Data · Automation
From process reality to validated digital systems.
I study how work actually moves, define the controls that matter, structure the data, build the application, and verify the result with users.
12AW139 aircraft monitored
49Validated DAX measures
4+1Deliverables + prototype
Open to engineering opportunities
Power BI
Python
01 About
Who I am
I grew into engineering by following how work moves.
I am Ayoub Mahdoudou, an industrial engineer based in Casablanca. I am most engaged when I can move between the field, the data, and the people who use the final solution.
My first internship taught me to observe a production line and understand every handoff. My second showed me how clearer workflows and better information can help a commercial team. In aviation, those lessons came together: process understanding, quality, supply chain, software, and decision support all became part of one mission.
I do not see technology as the destination. I use it to make work easier to understand, decisions easier to defend, and operations easier to improve.
Read the detailed portfolioMy working toolkit
Different tools, chosen for one reason: helping people work better.
Power BIData stories
PythonApplications
FlaskWeb systems
n8nAutomation
KNIMEVisual workflows
SolidWorks3D engineeringBusiness intelligence
Power BI · Power Query · DAX · Dimensional modeling
Software & data
Python · Flask · pandas · Node.js · REST APIs
Operations
Supply Chain · MRO–CAMO · SAP MM · Excel/VBA
Automation
n8n · KNIME · SSE · Workflow design
Engineering quality
KPI design · Validation · UAT · RLS · Traceability
02 Selected engineering work
One operational problem, engineered through five connected systems.
Final-year project · Heliconia Group · 2025 to 2026
Observe
Map the real process, actors, systems, duplication, risk, and decision gaps.
Define
Translate operational needs into requirements, KPIs, business rules, and acceptance criteria.
Structure
Design ETL flows, dimensional models, API contracts, and separation of concerns.
Build
Develop Power BI products, Python applications, Node.js services, and automated workflows.
Validate
Reconcile calculations, test edge cases, complete UAT, document, and deploy.
CAMO cost & airworthiness intelligence
Fleet Digital Twin
Operational records from AD Software and Excel were converted into a governed Flask application. The system separates extraction, PBH calculation logic, aircraft history, reporting, and presentation so every critical result can be tested.
PBH calculation validated within $0.03
One governed view of operational spend
Supply Chain Cost Intelligence
Disconnected purchase, freight, and customs files were redesigned as a dimensional model. Power Query governs transformation, DAX defines reusable measures, and synchronized filters preserve one operational definition of cost.
49 validated DAX measures across the portfolio
Daily exception management
Operations Control Tower
The supply chain process was decomposed into measurable phases, then rebuilt as an exception management system. It connects order priority, ETA performance, buyer workload, phase lead time, and management review.
A shared operating picture across Supply Chain
Live AW139 operational monitoring
Real-Time Fleet Status
A Node.js service polls the Smartsheet REST API, normalizes aircraft status, and streams changes to browser clients through Server-Sent Events. The result replaces repeated manual checks with a live operational view.
Automated surveillance for all 12 aircraft
Prototype extension
West Africa Fleet Planning
A prototype platform explores how fleet data can support planning beyond status reporting. It combines a Three.js operational interface, availability analysis, maintenance limits, a twelve-month Gantt plan, PDF reporting, and natural-language assistance.
Planning, analytics, and reporting in one interface
Additional work
Engineering beyond the flagship project.
Independent development and internship work across BI, process design, CAD, and automation.
Dashboard visuals are privacy-safe. Confidential values and personal details have been anonymized.
03 Engineering trajectory
2025 to 2026
Final-year project
Heliconia Group
This was the moment my interests came together. Working close to aviation operations, I learned to listen to CAMO and Supply Chain teams, understand the pressure behind their decisions, and turn fragmented information into tools they could trust.
Visit company website2024 to 2025
Application internship
MFI Maroc
I discovered how a process can become difficult when information is scattered between people and files. Mapping Sales Administration helped me connect daily needs with a simpler capture process and a clearer performance view.
Visit company website2023 to 2024
Initiation internship
MARISA
This was my first close view of an industrial system. Following a winter coat from material to finished product taught me that improvement begins by watching carefully, asking good questions, and respecting the knowledge on the shop floor.
Visit company websiteIndependent development
Always building beyond the brief.
Plant Co. sales analyticsCIB people analyticsSolidWorks jet-engine modelKNIME data workflowsn8n automation experiments
04 Credentials
Continuous learning
Credentials behind the practice.
Six Sigma Green Belt
Kennesaw State University · 2026
Microsoft Power BI Data Analyst
Microsoft · 2026
Excel Skills for Business
Macquarie University · 2026
Associate Data Analyst
DataCamp · 2025
Digital Manufacturing & Design
University at Buffalo · 2024
Python Data Fundamentals
DataCamp · 28 hours · 2025
SAP MM End User Training
SAP S/4HANA 1809 · 2023
Let's create impact
Have an operational challenge worth solving?
I’m interested in industrial engineering, operational excellence, business intelligence, supply chain, and digital transformation opportunities.
Connect on LinkedIn