Data Analytics Engineer
Turning data into decisions that matter with 2+ years of end-to-end analytics experience, bridging raw numbers and real strategy.
A Data Analytics professional dedicated to turning complexity into clarity.
It began with a single question.
Could the signals from a patient’s body warn us before it is too
late?
That question became my graduation project.
A ventilator monitor, fitted with sensors for heart rate, oxygen
and temperature.
Live readings streaming to a mobile app.
A machine learning model detecting possible conditions with
85% accuracy.
The biggest lesson had nothing to do with code.
Data only matters when someone can act on it.
Freelancing on Upwork was the next test.
Businesses in e-commerce, retail, HR and finance handed over
their data with one request.
Tell us what to do next.
Clear answers earned repeat clients, a
4.9 out of 5 rating and a perfect Job Success
Score.
Then came Microsoft’s Power Up Program, where simplicity became
the goal.
A library app tracking more than 500 books and flagging overdue
loans.
An animal shelter system keeping every record in one place.
Automated document checks replacing manual review.
The best tools are the ones people use without a second
thought.
Next, a real estate team needed visibility.
More than 500 processes were automated every month.
12GB of monthly data became reports ready for audit.
Two junior analysts learned the craft along the way, because
knowledge grows when it is shared.
Then came the biggest challenge yet.
Data on 27 million students, gathered from the
Ministry of Education and Al-Azhar institutes.
The task was to turn that complexity into one clear picture.
The result was a unified reporting system, with live dashboards
that put the numbers that matter in plain sight.
Today, those dashboards guide decisions for more than
1 million platform users.
Alongside them came a reading app designed for children and
teens.
The mission remains unchanged.
Turning tangled numbers into decisions people can trust.
Behind every dataset stands a real person.
A patient.
A student.
A customer.
A team waiting for direction.
That is what keeps this work personal.
Now it is your turn to explore.
Scroll down to discover the skills behind the work and the
projects that prove it.
Each one began with messy data and an important question.
Spotted something that sparks an idea for your own business?
The Service Request form at the bottom of the page is the
fastest way to start.
Describe what you need, and let’s take it from there.
Your data has a story.
Let’s tell it well.
Years Experience
Total GitHub Repos
Total Commits
Total Courses
Expert in DAX, Power Query, Data Modeling, and Star-Schema design for enterprise dashboards.
Advanced data visualization and interactive dashboard development for complex datasets.
Creating dynamic, shareable reports and marketing dashboards connected to live data.
Advanced formulas, pivot tables, and data manipulation for rapid analysis and reporting.
Building semantic and tabular models to serve enterprise-grade analytics securely.
Defining metrics and executive reporting structures aligned directly with business goals.
Translating complex data into compelling, actionable narratives for non-technical stakeholders.
Data manipulation (Pandas, NumPy), visualization (Matplotlib, Seaborn), and ML (Scikit-learn).
Advanced querying, complex joins, aggregations, and database optimization across various dialects.
Predictive modeling, feature engineering, and statistical analysis using Scikit-learn and TensorFlow.
Distributed computing for large-scale data processing and analysis across clusters.
Exploratory Data Analysis to uncover hidden patterns, anomalies, and trends before modeling.
Forecasting and trend analysis over temporal data to predict future outcomes.
Applying rigorous statistical methods to validate hypotheses and support data-driven decisions.
Building Canvas and Model-Driven applications for internal tooling and workflow management.
Automating repetitive business processes and creating efficient, error-free workflows.
Developing secure, low-code external-facing websites connected to Dataverse.
Structuring and managing relational data securely within the Power Platform ecosystem.
Integrating AI models (like form processing or object detection) into workflows without writing code.
End-to-end optimization of manual operational tasks to increase business efficiency.
Bridging the gap between technical data and business strategy using Agile/Scrum methodologies.
Relational database design, management, and query optimization for structured data.
Unified analytics platform for big data engineering and machine learning workloads.
Cloud infrastructure, data storage, and analytics services deployment.
RFM analysis and behavioral clustering for highly targeted marketing campaigns.
Predictive analytics for inventory, staffing, and resource planning optimization.
Specialized analysis across ROI, FinTech, EdTech, and Real Estate domains.
Managing codebase changes, branching strategies, and collaborative development workflows.