● Available in London
Fathah looking curious in a blue hoodie
01 · HELLO

HI, I’M FATHAH.

I turn difficult commercial questions into clear next moves.

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FATHAHData · AI & Automation · Finance
Fathah / Projects 5 case studies
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I use data, finance and AI to solve business problems.

From analysing commercial questions to automating finance workflows and building AI products, I turn messy problems into evidence, systems and decisions.

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01 · HOW I WORK

Move from evidence to a usable decision.

  • Analyse data and commercial questions
  • Map workflows and automate repeatable work
  • Explain the trade-offs clearly
02 · WHERE I ADD VALUE

Connect technical detail to business outcomes.

  • Build data-backed recommendations
  • Join financial thinking with product logic
  • Leave teams with a system they can use
Data & AnalyticsAI & AutomationFinance & StrategyLondon · Open to opportunities
TOOLKITSQLPythonExcelPower BIPower Queryn8nAPIsChatGPTClaudeGeminiPerplexity
CASE STUDIES & WORKCommercial problems, evidence, decisions and practical outputs
5 PROJECTS
Looking for someone who can connect data, automation and commercial decisions?I’m open to London-based opportunities across analytics, AI-enabled operations and finance strategy.
Project.case
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ROLE
TOOLS & METHODS
OUTPUT

The brief

What I did

How I approached it

Deeper insights

Evidence trail

Assumptions and limitations

The key decision

What I built

Outcome and learning

What I would test next

Capabilities demonstrated
EDUCATION · SKILL STACK

Technical foundations.
Commercial application.

My education is deliberately cross-functional. Data science taught me how to test evidence; management and finance taught me how to turn that evidence into a commercial recommendation.

Pixel avatar of Fathah wearing his graduation cap and gown and holding a diploma
2020–2023

BSc Data Science & Analytics

University of Westminster

I learned the complete analytical cycle: structure a question, prepare data, choose an appropriate method, test the result and communicate uncertainty.

Core learning

  • Python and SQL for data preparation and analysis
  • Statistics and machine-learning foundations
  • Data visualisation and evidence-led storytelling
  • Breaking ambiguous questions into testable steps

How I use it now

It underpins my market sizing, workflow design, financial analysis and ability to challenge unsupported assumptions.

PythonSQLMLStatisticsVisualisation
2025–2026

MSc Management

Hult · Finance specialisation

I added the commercial layer: how organisations allocate capital, evaluate opportunities, position products and make decisions with incomplete information.

Core learning

  • Valuation and financial modelling
  • Mergers, acquisitions and corporate finance
  • Strategy, customer insight and market selection
  • Team-based live business challenges

Applied work

Projects for Lime, QuickBooks and LinkedIn connected customer research and financial logic to practical growth propositions.

ValuationModellingM&AStrategyB2B growth
Fathah — Résumé.pdf
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Fathah's résumé showing profile, education, professional experience, selected projects and skills
 ABOUT FATHAH

I connect data, finance and AI to decisions people can use.

I’m a commercially minded operator with a BSc in Data Science & Analytics and a Master’s in Management specialising in Finance. I work between evidence and execution: analysing business questions, mapping workflows, defining AI products and turning the result into a recommendation or system that another team can use.

01 · WHAT I DO

Turn ambiguity into evidence and action.

I research markets, analyse data, test financial assumptions and map workflows. The output might be a product definition, automation design, commercial model or recommendation.

02 · WHAT I BRING

Technical range with commercial judgement.

I can move between SQL or Python, finance models, AI-governance research and stakeholder communication without losing sight of the business decision underneath the work.

03 · WHERE I’M HEADING

Data, AI-enabled operations and finance strategy.

I’m looking for roles where I can own analytical problems, automate repeatable work and help teams make clearer product, operating or investment decisions.

04 · HOW I WORK

Evidence first. Ownership always visible.

I name assumptions, make trade-offs explicit and leave behind something another person can use—a model, workflow, decision story or clearly prioritised next step.

RIGHT NOWLondon · Open to Data & Analytics, AI & Automation, and Finance & Strategy opportunities
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Abdul Fathah Mateen

Commercially curious across GTM, operations strategy, finance and AI governance. See my experience, current work and professional updates on LinkedIn.

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mateenfathah@gmail.com