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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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cedekpoole/README.md

Hi, I'm Cameron Poole | MSc Data Science student | Looking for Junior Data Engineer / Analytics Engineering / Analytics roles | London 📊

Completing an MSc Data Science at Kingston University (September 2026), following a BA Philosophy degree (1st, Newcastle). I work with SQL and Python, and have front-end software development experience. I've built web apps and published open-source npm packages - I'm comfortable writing, testing, and version-controlling real code. I'm now moving into data: deepening my SQL and picking up dbt, data modelling and cloud warehousing while I build out a data portfolio.

MSc Data Science Modules:

  1. Applied Data Programming | 30 credits | Grade: 81/100 - 1st
  2. Data Analytics and Visualisation | 30 credits | Grade: 99/100 - 1st
  3. Machine Learning and Deep Learning | 30 credits | Grade: 82/100 - 1st
  4. Databases and Data Management | 30 credits | Grade: 96/100 - 1st
  5. Dissertation | 30 credits | Grade: Ongoing

LinkedIn

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

core_stack: ["SQL", "Python", "Git"]
analytics_engineering: ["dbt", "data modelling", "Kimball", "star schemas"]
data_platforms: ["Azure", "BigQuery"]

eng_background: ["JavaScript", "TypeScript", "React"] # shipped web apps + published npm packages

learning_next: ["Snowflake warehouse loading", "dbt-snowflake analytics models", "Prefect orchestration"]

seeking: "Analyst / analytics engineering / junior data engineering roles — London, hybrid"

Current project:

Building a UK carbon intensity analytics pipeline using public electricity carbon intensity data. Currently focusing on local Python ingestion and pytest coverage. Planned next steps: Snowflake loading, dbt-snowflake modelling, Prefect orchestration and an analytics dashboard.

Recently completed:

Built a TfL transport analytics pipeline using Python, Azure Blob Storage, BigQuery, dbt, and GitHub Actions. The project ingests live Tube status data from the TfL API, validates and snapshots raw JSON responses, uploads data to private cloud storage, loads it into BigQuery and builds analytics-ready dbt models.

📫 How to reach me

Pinned Loading

  1. portfolio-website portfolio-website Public

    Personal Portfolio 💫

    TypeScript

  2. statistical-modelling-r statistical-modelling-r Public

    Statistical modelling project in R using regression, diagnostics and classification evaluation.

    R

  3. rna-seq-plots rna-seq-plots Public

    An npm package containing rna-seq plots

    JavaScript

  4. tfl-analytics-mart tfl-analytics-mart Public

    End-to-end data pipeline for cleaning and modelling Tfl data in BigQuery with dbt.

    Python

  5. support2-quality-of-life-analysis support2-quality-of-life-analysis Public

    Python analysis of clinical data exploring quality-of-life outcomes, feature relationships and statistical patterns.

    Jupyter Notebook

  6. philosophy-writing philosophy-writing Public

    Selected philosophical works on biopolitics, psychoanalysis, conspiracy theory, uncertainty and systems of belief.