Data Analyst · Data Engineer KFMC · Riyadh Class of 2026

Yousefal-Zahrani

I take raw, messy data and move it through clean pipelines into dashboards that decision-makers trust. At King Fahad Medical City I turned minute-long queries into sub-second ones.

See the work LinkedIn GitHub
SQLPythonPower BIDAXMicrosoft FabricAzureApache SparkKafkaAirflowMongoDBDockerFastAPIOpenCVResNet-50
Impact

Numbers that moved things.

Query runtime · KFMC
<1sec

Rebuilt hospital SQL pipelines with CTEs and window functions. Reports that took minutes now return in under a second.

beforeminutes
after< 1 s
HealAI · ResNet-50

Wound classification accuracy from a fine-tuned deep learning model.

Internship · Jun – Dec 2025
Six months inside King Fahad Medical City
JunJulAugSepOctNov
kpi_daily.sqloptimized
WITH daily AS (
  SELECT dept_id, visit_date, COUNT(*) AS visits
  FROM   fact_visits
  GROUP BY dept_id, visit_date
)
SELECT dept_id, visit_date, visits,
       AVG(visits) OVER (PARTITION BY dept_id
         ORDER BY visit_date ROWS 6 PRECEDING) AS avg_7d
FROM   daily;   -- one pass, no nested scans
Experience

Real data. Real hospital.

Jun 2025 – Dec 2025Riyadh, Saudi Arabia
6-month internship

Data Analyst Intern

King Fahad Medical City (KFMC)
  • Performance

    Optimized SQL pipelines with CTEs and window functions, cutting runtime from minutes to under one second.

  • Decision support

    Built and deployed Power BI dashboards used by healthcare teams for real-time KPI tracking and executive decisions.

  • Data modeling

    Cleaned and modeled large medical datasets into a Star Schema with Python and Excel for reliable reporting.

  • Automation

    Integrated AI tools into existing hospital systems to automate recurring reports and streamline workflows.

Stack

The whole pipeline, end to end.

Built around the Medallion architecture: each layer makes the data a little more trustworthy until it is ready for a decision.

Bronze · collect

Land raw data from source systems as it arrives, in batches or as streams, without losing a record.

PlatformMicrosoft FabricAzureLakehouseMedallion architectureDocker
Selected work

Two projects, both shipped.

01 · Medical AI

HealAI wound & health assessment

A medical AI platform that reads a wound photo and classifies it. A fine-tuned ResNet-50 does the classification, an OpenCV pipeline prepares the images, and a cloud-ready FastAPI backend serves the predictions.

ResNet-50OpenCVFastAPIPython
96.2%Accuracy
CNNDeep learning
APICloud-ready
02 · Healthcare BI

Hospital analytics dashboard

End-to-end SQL pipelines feeding interactive Power BI dashboards, deployed at King Fahad Medical City. Hospital teams and executives use them to track KPIs and make decisions from one trusted source.

SQLPower BIDAXStar Schema
<1 sQuery time
LiveKPI tracking
KFMCDeployed
Credentials

Trained, tested, certified.

Education
B.Sc. Data Science
University of Hafr Al-Batin
Feb 2022 – Jun 2026Saudi Council of Engineers · Member #1254364
Machine & Deep LearningBig Data AnalyticsData MiningDatabasesStatisticsData Visualization
NVNVIDIA Certified Associate: Accelerated Data ScienceNCA-ADSNVIDIA · SDAIA2026
IBMData Engineering Professional CertificateIBM · Coursera2026
IBMData Science Professional CertificateIBM · Coursera2026
TWSQL 103Tuwaiq Academy2025
Athar Academy · Dec 2025 – Apr 2026

Microsoft Data Engineering Bootcamp

Built pipelines with Microsoft Fabric, Azure, Airflow, Kafka, Spark and MongoDB on Lakehouse and Medallion architecture.

Athar Academy · 2026

Data Analysis & Business Intelligence Bootcamp

Applied Excel, SQL, Power BI, DAX and Microsoft Fabric to data modeling, star schemas and executive dashboards.

References

In their words.

“
Dr. Abdulrahman Alzahrani
Dean, College of Computer Science & Engineering, University of Hafr Al-Batin
Academic letter
“
Dr. Musab Isah
Former Assistant Professor, UHB (Data Science I, Data Visualization) · Head of ICT, Mainstream Energy Solutions
Academic letter
“
Amin Agha
CEO, Athar Academy
Two professional letters
Four signed letters, each viewable and downloadable in full. Read the letters

Let's build
your gold layer.

Email Yosef.Alzahrani@outlook.sa
Phone +966 55 117 9565
Network ↗LinkedIn Code ↗GitHub
© 2026 Yousef Al-ZahraniSaudi Arabia · Arabic & English