I'm completing an MSc Data Science at Kingston University after a First-Class BA in Philosophy from Newcastle University.

I primarily work with SQL and Python, and I'm interested in applied data work: cleaning data, writing queries, building small pipelines, checking assumptions and using analysis or modelling to answer meaningful questions.

My current projects cover data pipelines, dbt models, statistical modelling, data quality checks and public datasets. I also have front-end software development experience, including React and scientific data visualisation work.

I'm looking for entry-level data roles in London across applied analytics, data analysis, data quality, public sector data, risk/evaluation, analytics engineering and junior data engineering.

MSc Data Science modules

• Applied Data Programming — 81/100
• Data Analytics and Visualisation — 99/100
• Machine Learning and Deep Learning — 82/100
• Databases and Data Management — 96/100
• Dissertation — in progress

name: Cameron Poole
location: London, UK
education: "MSc Data Science (Kingston, 2026) | BA Philosophy (1st, Newcastle)"

focus:
  - data analysis
  - applied analytics
  - statistical modelling
  - data quality
  - data pipelines

core_stack:
  - SQL
  - Python
  - R
  - Git

data_tools:
  - pandas
  - NumPy
  - scikit-learn
  - dbt
  - BigQuery
  - Azure Blob Storage
  - Snowflake
  - PostgreSQL
  - Oracle SQL

modelling_and_analysis:
  - regression
  - logistic regression
  - classification metrics
  - model evaluation
  - data cleaning
  - validation checks

visualisation_and_dev:
  - Tableau
  - Looker Studio
  - matplotlib
  - seaborn
  - JavaScript
  - TypeScript
  - React

seeking: "Entry-level data roles — London, hybrid preferred"

Current project

Investigating which road, time and environmental conditions are associated with fatal or serious injuries in police-reported London collisions involving pedestrians and cyclists. This project uses DfT STATS19 data to develop a reproducible Python and SQL workflow with data-quality checks and statistical modelling.

Recently completed

Built a TfL transport analytics mart using Python, Azure Blob Storage, BigQuery, dbt and GitHub Actions. The project ingests Tube status data from the TfL API, stores raw JSON snapshots, loads the data into BigQuery and builds tested dbt models for line status and reliability analysis.

Other relevant work

• Environment Agency dissertation on compliance history and serious-breach risk scoring.
• Statistical modelling using regression, logistic regression, diagnostics and classification metrics.
• Rail punctuality warehouse using Oracle SQL, star schema design and Tableau reporting.
• Scientific visualisation work with React and Highcharts, including PCA and RNA-seq volcano plot components.

📫 How to reach me

• Website: https://cedekpoole-website.vercel.app/
• Email: cameron.edek.poole@gmail.com