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Musab Edriss

Head of Data Science, AI & Analytics

Musab Edriss

I build and lead the data science, AI and analytics teams that turn telecom-scale data into revenue — 15+ years across the Middle East and Africa.

Leading data & analytics in telecom
15+ yrs
Above CVM revenue target
150%
YoY growth in campaign revenue
200%
Models & campaigns shipped
40+
Selected work

Case studies

LeadershipAIEngineering

Re-imagining analytics as an AI enablement layer

Repositioned CVM analytics from reporting into an in-house AI enablement layer — models, decisioning, orchestration and local infrastructure — that serves the telco and its adjacent businesses with no licensing cost.

20+Models running in parallel100%Platform uptime
AICVM

Conversational and agent intelligence: AI on customer conversations

On-premise AI that reads customer chats for sentiment and buying intent, explains bills in plain language, and automates callbacks and ticket handling — keeping customer data in-house.

On-premise — data stays in-houseModelsSentiment, intent, bill driversSignals

All case studies →

What I do

Three areas

Data Science, AI & Analytics Leadership

Build and run the function: shape and hire multidisciplinary teams, set the roadmap and scope, and own the executive and vendor relationships behind it.

Applied ML & AI

Propensity and churn models, anomaly detection, real-time decisioning, and agentic AI — taken from proof of concept into tools the business uses every day.

Growth & CVM Analytics

Next-best-offer, segmentation, retention, and campaign uplift measurement — the analytics behind campaigns that beat revenue targets by up to 150–200%.

Built on the side

Personal AI projects

In progress

OpenClaw — a personal multi-agent crew

A self-hosted crew of AI agents — a main assistant plus specialists for content, research, and health — running on my own infrastructure with a multi-provider fallback chain.

OpenClawUbuntusystemdPythonTelegramWhatsApp

All projects →

Skills

What I work with

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

Open to Head of Data Science, AI & Analytics roles.

If you are hiring a leader to own data science, AI and analytics — and to build the team and systems behind it — let's talk.