Background
I lead CVM and analytics in the consumer sector at stc Bahrain — building the data, models, and AI systems behind customer value management, and acting as the sector's applied-AI champion.
Based in Bahrain · telecom consumer sector
How I lead
I treat building a team as a design problem before a hiring one. I start by naming what the function has to own end to end — data and analytics engineering, BI and reporting, campaign analytics — then hire against that shape and give each area a clear lead. While the team changes around it, I protect the executive reporting, because that is where trust is won or lost.
With stakeholders, I agree definitions and scope up front and write down what we are not doing yet. One shared definition of churn risk, reused everywhere, does more than a clever model nobody trusts. And I deliver analytics into the tools people already use, with a reason attached to every score, so the business can act on it.
Education
MSc Business Analytics
Edinburgh Business School, Heriot-Watt University · Completed while working full-time
Right now
Building agentic AI workflows and evaluating the Claude ecosystem — Claude Code, Cowork, and Skills — for analytics and delivery work.
Skills
CVM & Campaign Analytics
- Propensity modelling
- NBO / NBA
- Churn & retention analytics
- Segmentation
- Campaign measurement & uplift
Data & Engineering
- SQL (Impala / Hive)
- Cloudera
- Airflow
- Parquet
- Query optimisation
BI & Reporting
- Power BI (DAX, M)
- Streamlit
- Executive dashboards
ML & AI
- Anomaly detection (Isolation Forest)
- Python
- Agentic AI systems
- LLM tooling (Claude Code, MCP)
- Prompt & workflow design
Marketing Tech
- SAS CI Studio
- SAS RTDM
- Real-time decisioning
Leadership
- Built analytics team 0→3
- Stakeholder & executive presentation
- Vendor management
- Roadmap & scope definition