I'm Mahmoud — an aerospace engineer turned data analyst. I help teams turn messy, complex data into clear decisions, using the same systems mindset that keeps aircraft flying.
The short version of a long pivot — from aircraft systems to spreadsheets, dashboards, and the occasional 2 a.m. SQL query.
I'm Ali, an aerospace engineer with a strong foundation in aircraft maintenance, now applying that same precision and problem-solving mindset to the world of data analytics.
My career began in aviation, where attention to detail isn't optional — it's critical. Working hands-on with complex aircraft systems taught me how to diagnose problems, interpret technical data, and make decisions where accuracy matters. Today, I bring that same discipline into data analysis, turning raw information into clear, actionable insights. Because while words can explain, numbers tell the truth.
What draws me to data is its versatility. Unlike aircraft, data isn't confined to one domain — it exists everywhere. From finance to operations to business strategy, I enjoy exploring how data can uncover patterns, optimize performance, and support smarter decision-making across industries. That flexibility is what makes this field so exciting to me.
Beyond analytics, I have a strong interest in financial markets, where data, risk, and human behavior intersect in real time. When I'm not analyzing trends, you'll likely find me traveling, fishing, or capturing moments through photography — activities that keep me curious, grounded, and always learning.
I'm always open to opportunities across industries and enjoy connecting with others who are passionate about data, problem-solving, and building meaningful solutions. If that sounds like you, let's connect.
Each project is structured the way I think: problem, analysis, outcome — with the metric that mattered.
Every project follows the same disciplined path — so the work is repeatable, the logic is auditable, and the answer is trustworthy.
Define the objective, context, and key questions behind the data.
Organize, clean, and validate the dataset to ensure accuracy.
Identify patterns, trends, and insights through structured analysis.
Translate findings into clear, actionable recommendations.
Still curious?
If your question isn't here, the fastest path is just to send a short note. I read everything.
Ask directly →Roles, collaborations, or a sharp question — I'd like to hear it.
● Currently accepting opportunities
Email is the fastest. I usually reply within a day.