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Musab Edriss
About

Background

I lead Data Science, AI & Analytics for the consumer sector at stc Bahrain — building the team, models, and AI systems behind customer value management, and acting as the sector's applied-AI champion. It caps a 15+ year career in telecom data across the Middle East and Africa, from BI analyst at MTN Sudan to leading analytics at stc.

Based in Bahrain · telecom consumer sector

Experience

stc Bahrain

Bahrain · May 2018 – Present

  1. CVM & Analytics Expert · leading Data Science, AI & Analytics

    Jan 2024 – Present

  2. Lead CVM & Analytics

    Dec 2021 – Dec 2023

  3. Senior Executive, CVM & Analytics

    Jan 2019 – Nov 2021

  4. Performance Management & Reporting

    May 2018 – Dec 2018

MTN

Sudan · Eswatini · Sep 2011 – May 2018

  1. Marketing Information & Reporting Manager (Marketing BI)

    MTN Sudan · Jan 2015 – May 2018

  2. Marketing BI & Analytics Expert (rotation)

    MTN Swaziland · Jul 2016 – May 2017

  3. Business Intelligence Specialist

    MTN Sudan · Apr 2014 – Dec 2014

  4. Business Intelligence Analyst

    MTN Sudan · Sep 2011 – Mar 2014

Full CV — responsibilities, achievements, certifications →

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 · Oct 2022 – Dec 2025 · Completed while working full-time

  • Postgraduate programme, Business Analytics — Decision Making Using Data

    Cambridge Judge Business School, University of Cambridge · Nov 2022 – Feb 2023

  • B.Sc. (Honours), Computer and Mathematical Sciences

    University of Khartoum, Faculty of Mathematical Sciences · 2002 – 2010

Right now

Building agentic AI workflows and evaluating the Claude ecosystem — Claude Code, Cowork, and Skills — for analytics and delivery work.

Skills

Leadership

  • Building data science, AI & analytics teams
  • Roadmap & scope definition
  • Executive & board-level communication
  • Vendor & partner management

ML & AI

  • Propensity & churn modelling
  • Anomaly detection (Isolation Forest)
  • Customer lifetime value models
  • On-premise LLMs & NLP
  • Agentic AI systems
  • LLM tooling (Claude Code, MCP)
  • Python

Growth & CVM Analytics

  • NBO / NBA
  • Segmentation & RFM
  • Churn & retention analytics
  • Campaign measurement & uplift
  • Funnel analysis

Data & Engineering

  • SQL (Impala / Hive)
  • Cloudera
  • Airflow
  • Feature stores & SNA
  • Data warehousing & ETL
  • Query optimisation

BI & Reporting

  • Power BI (DAX, M)
  • Executive dashboards
  • Streamlit

Marketing Tech

  • SAS Customer Intelligence
  • SAS RTDM
  • Real-time decisioning