ABOUT

An architect by degree, an engineer by practice.

I started in architecture, the buildings kind, and moved to data because the questions were better. Seven years later I design and lead Vodafone's consumption anomaly detection and savings verification platform across 10 European markets.

My bar is simple: a number is only worth publishing if you can defend how it was made. That means calibrated statistics, quality gates that block bad releases, and lineage from every KPI back to its raw source rows.

Omar Ossama

What I work with

ENERGY DOMAIN
Smart meter & AMI analytics · M&V (IPMVP Option C) · counterfactual baselines · non-routine adjustment detection · cohort benchmarking · savings verification
ENGINEERING
Python · PySpark · SQL · GCP (BigQuery, Cloud Run, Pub/Sub, Dataplex) · OpenLineage · data contracts · CI/CD & release gating · idempotent checkpointed pipelines
STATISTICS & BI
Robust statistics (MAD, Theil-Sen) · changepoint detection · empirical-Bayes shrinkage · uncertainty quantification · Power BI (TMDL, DAX, RLS) · Deneb/Vega-Lite · Tableau · Qlik

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)