Programming & Data
- Python, SQL
- Data modelling and transformation
- Statistical analysis and data exploration
Building reliable data pipelines and turning complex data into clear, trusted insights.
About Me
I’m a data engineering and analytics consultant with a strong mathematical background. I enjoy working at the intersection of data engineering, analytics, and statistics, with a focus on building systems people can trust and understand.
I hold a Master of Advanced Study in Pure Mathematics (Part III) from the University of Cambridge and a First-Class BSc in Mathematics from the University of Surrey. This background gives me a rigorous approach to problem-solving and a strong intuition for data, structure, and modelling.
Alongside technical delivery, I place a strong emphasis on communication: explaining complex ideas clearly, supporting stakeholders, and producing work that is easy for others to maintain and build upon.
Skills & Tools
Data Engineering
- Automated data pipelines
- Bronze–Silver–Gold / medallion architectures
- Change Data Capture (CDC)
Platforms & Analytics
- Snowflake, dbt
- Tableau, Power BI, Alteryx
Cloud & Tooling
- AWS (S3, EC2), Azure
- GitHub
Selected Projects
AI-based vehicle tracking, counting, and lane estimation
Deep Neural Network (from scratch)
A Python implementation of a deep neural network with a focus on understanding the mathematics behind forward propagation, backpropagation, and optimisation.
- Emphasis on clarity and learning rather than black-box usage
- Built to deepen understanding of neural networks from first principles
AI-based Vehicle Tracking & Counting
An end-to-end AI vehicle detection and tracking pipeline using YOLO, with motion analysis, border-based counting, unsupervised lane estimation, and analytics-ready outputs.
- Persistent IDs, velocity vectors, and border-based events
- Unsupervised lane estimation via clustering
- Dimnensional model designed for downstream analysis
SQL & Data Preparation Work
A collection of repositories and exercises focused on data preparation, querying, and structuring data for analysis and reporting.
Data Engineering
A small ecosystem of projects that fit together as a pipeline: API extraction (Bronze) → modelling in dbt (Silver/Gold). The extraction repos produce raw JSON data designed to feed the dbt analytics layer.
How these repos connect
- Bronze (raw ingestion): Python pipelines extract raw API data and load it to S3: Amplitude, Mailchimp, TfL BikePoint.
- Analytics layer: dbt models transform raw sources into analytics-ready tables: dbt Cloud project.
dbt Cloud Analytics
A dbt Cloud project snapshot modelling Amplitude and Mailchimp data into trusted, analytics-ready models using layered patterns, documentation, lineage, and testability.
Amplitude Extraction
Extracts raw, event-level product analytics data from the Amplitude Export API, normalises raw files, and uploads to S3 for downstream modelling.
Mailchimp Extraction
Extracts campaign metadata and email engagement activity from the Mailchimp Marketing API, writes JSON, uploads to S3, and logs retries/errors.
TfL BikePoint Ingestion
A lightweight ingestion example demonstrating extraction, cloud loading, and a repeatable pattern suitable for scheduling — designed to feed downstream analytics modelling.
Tutorials and follow-alongs
Short, practical guides you can fork and run locally. These are written as “follow-along” repos to help you get set up quickly and learn by doing.
Getting started with GitHub and Python
A quick setup guide for getting started with Python using GitHub in VSCode, fully self contained, including configuring your first project with a virtual environment and Git repository.
Gemini API in Python
A walkthrough for setting up a Python environment in VS Code and making Gemini API calls, including one-shot prompts, chat, and streaming output.
Draft Portfolio Website
A clean, minimal personal website template designed to be easy to customise and deploy. Includes a fast workflow for filling content using AI tools.
LaTeX in VS Code
A quick setup guide for writing LaTeX in VS Code on Windows, with a repo structure that keeps PDFs tracked and auxiliary files ignored. Includes a small Sympy example to support maths workflows.
Tables in MATLAB
A quick intro to creating, storing, reading, and manipulating MATLAB tables (including mixed data types), with console output to support learning.
Writing & Knowledge Sharing
Data & Analytics Writing
I regularly write about data topics with a focus on accessibility and practical understanding. Topics include:
- Data preparation and modelling
- Granularity, aggregation, and joins
- Storytelling with data
- BI best practices
Mathematical Writing
A self-contained mathematical essay proving the Hodge Decomposition Theorem, with a geometry-first extension to manifolds with boundary.
Tutoring & Educational Materials
Supplementary A-level mathematics notes developed through tutoring, focusing on method selection, reasoning, and clear worked solutions.
Research & Academic Work
Co-author of a graph theory research paper exploring structural properties of graphs: Graphs with equal girth and circumference.
Experience Highlights
Data Engineering & Analytics Consulting
- Delivering automated data pipelines for analytics and BI.
- Client-facing analytics projects across multiple tools and domains.
- Experience leading and coordinating project work.
- Strong documentation and handover practices.
Teaching & Communication
- Mathematics tutoring (A-level).
- Explaining technical concepts to non-technical audiences.
- Producing educational content and internal documentation.
Certifications
- Tableau Certified Data Analyst
- Alteryx Designer Core Certification
Music & Outside the Office
Music
Beyond data and code, I’m a music producer with published work.
Buy me a coffee
If you’ve found my work helpful, you can support me here—thank you!
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