~/portfolio

Data scientist building ML, cloud data platforms & agentic systems.

I’m Hamza Albakkar — a Manchester-based data scientist with 4+ years across financial services, analytics engineering, ML tooling, GCP/BigQuery, and experimental AI agent frameworks.

./view-projects cat experience.md ssh contact@beks

Selected builds

projects/*
monitoring Reportability Monitoring Static model-monitoring report for recall, drift, bias, and operational recommendations. field guide The Author in the Machine An editorial explainer on modern AI systems, authorship, and machine creativity. learning system Lloyds LLM Interview Study material and diagrams for LLM concepts, retrieval, evaluation, and deployment.

Profile snapshot

python profile.py 
>>> hamza = {
    "role": "Data Scientist",
    "focus": ["ML engineering", "GCP data platforms", "agentic RAG"],
    "toolkit": ["Python", "SQL", "BigQuery", "DBT", "Google ADK"],
    "current_mode": "building reusable systems from messy real-world workflows"
}
# CV summary converted into a public-safe web profile.

Experience

career.log

Lloyds Banking Group · Data Science & Analytics Graduate

Rotations across Hive Lab, Digital Transformation & Consumption Lab, and Risk Science / ML Engineering.

  • Designed a reusable stage-based agent framework using Google ADK v1, typed Pydantic contracts, workflows, stages, and shared configuration.
  • Prototyped an enterprise knowledge agent using intent classification, vector retrieval, re-ranking, and cited answer synthesis.
  • Contributed to Teradata-to-GCP migration work through DBT transformations, governance, and consumption data products.
  • Built lineage and ML tooling prototypes across SQLGlot, BigQuery, GCS, preprocessing packages, and Vertex Workbench.

Admiral Money · Data Analyst

Analytics, reporting migration, finance/risk metrics, and production process improvement in lending.

  • Redesigned the loan funding process and reduced runtime by 90%.
  • Migrated Finance and Risk reporting from SAS to Amazon Redshift with Power BI, Excel reporting, and a SQL datamart.
  • Created profitability and credit-risk metrics approved by senior risk and lending stakeholders.
  • Developed a Python behavioural balance run-off model supporting external audit approval for a £5m balance sheet item.

Stack & signal

skills.json
core toolkit
Python SQL GCP / BigQuery DBT Machine Learning Data Modelling Pydantic Google ADK RAG Power BI Git / CI/CD Stakeholder communication
education Finance & Financial Technology MSc · 1st

University of Reading — machine learning, big data, investment, and securities modules.

BA Accounting & Finance · 1st
University of the West of England, Bristol.

Contact

open_channel()
public-safe CV note CV details are summarised here, but the full PDF is not published by default.

I avoided putting the uploaded CV PDF directly on the public site because it contains personal contact details. The page uses the career sections and project signals from it instead.

email Hamza review experience