samuel.brooks — builds data pipelines
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about

A data and analytics background shaped across Houston and London.

Samuel Lawrence Brooks is a London-based data and analytics professional currently completing an MSc in Business Analytics at University College London.

His work sits across data engineering, analytics systems, machine learning, and modern data infrastructure, with a strong bias toward practical pipelines and clear technical explanation.

→English (native)→Spanish (fluent)→British & Venezuelan
Portrait of Samuel Brooks

Samuel Brooks · London

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MScUniversity College London

MSc Business Analytics

Current degree focused on applying statistics, machine learning, and large-scale data infrastructure to business problems.

Data Engineering · Machine Learning · Predictive Analytics · Programming for Business Analytics

BBAUniversity of Houston

BBA Management Information Systems, cum laude

Graduated with a GPA of roughly 3.42, with coursework centred on databases, enterprise systems, analytics, and information systems management.

Database Management · IS Development Tools · IT Project Management · Transaction Processing Systems

ABRNEOMA Business School

Semester abroad

International study experience adding broader academic and cultural context to Samuel's business and systems education.

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INTMcDermott International

Data / AI Governance Intern

Built Power BI dashboards, supported Microsoft Purview governance initiatives, created internal AI compliance training material, and assisted enterprise data classification efforts.

Gave direct exposure to large-scale governance systems and the operational side of enterprise data work.

PRJGuinea Mobile

Client-facing data engineering scope

Built a reproducible data pipeline transforming raw telecom output from an MVNO's Oracle BSS environment into structured analytical datasets.

Deployed using Google BigQuery and CI-based workflows. Enabled active customer tracking, expiry forecasting, and bundle-balance analysis.

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$ORIGIN

Born in Venezuela, moved to Houston at age four. British and Venezuelan, with English, Venezuelan, Chilean, and Portuguese ancestry.

$INTERESTS

  • →Football — Brighton & Hove Albion
  • →Technology startups and AI systems
  • →Fitness and travel
  • →International environments

direction.txt

Targeting data engineering, analytics engineering, and applied data roles — ideally around AI infrastructure, modern data stacks, and analytics platforms.

The portfolio emphasises real systems, reproducible pipelines, and practical engineering decisions rather than resume buzzwords.