ABOUT

Good data architecture starts with people, not pipelines.

I've spent seven years between the people who need answers and the data that holds them: operations managers, finance teams, engineers, executives. The hard part is rarely the model. It's agreeing what a number means and making sure everyone can rely on it.

At Vodafone I architected the anomaly detection and savings verification platform used across 10 European markets, end to end, from how data lands to how executives read it. Next, I want to do that for a whole data function: set the architecture, the standards and the roadmap, and help the teams around it grow.

My north star: every number an organisation decides on should be traceable, explainable and trusted by default.

Omar Ossama

How I work

ARCHITECTURE
Design data platforms end to end: how data arrives, how quality is enforced, how it's modelled, and the reporting layer people actually use.
STRATEGY
Turn business questions into a roadmap: what to measure, what to build first, and what to stop doing.
PARTNERSHIP
Work alongside operations, finance and engineering, translate between them, and make the output something non-specialists can use and challenge.
Hands-on with Python, SQL, Spark, Google Cloud and Power BI.

Experience

Energy Data Scientist, _VOIS (Vodafone)
Apr 2025 to present · architect & technical lead, team of 2
DLM Enterprise Data Analyst, _VOIS (Vodafone)
Mar 2023 to Apr 2025 · device lifecycle, inventory & billing analytics
Lead Data Analyst, BasilicoEG
Mar 2021 to Mar 2023 · led the data function, restaurant group
Business Analyst, AWAD Associates
Mar 2019 to Mar 2021 · expansion planning & sales forecasting

Education & certificates

BSc Architecture, Alexandria University
Faculty of Fine Arts, 2014 to 2019
Inferential Statistics, Duke University (2023) · Google Data Analytics & Project Management (2022) · Data Scientist Program, Data Insight (2021) · Advanced Data Analysis, EGfwd (2020) · Predictive Analytics & Business Analysis, Skillsoft (2024)