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Musab Edriss
About

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