~/lewis-jones

Nottingham, UK · Open to data engineer and data analyst roles

Lewis Jones

I build data pipelines and machine learning models in Python and SQL - from raw data to working, documented results.

Projects

  1. ~/projects/job-market-pipeline

    Job Market Pipeline

    In progress

    An automated pipeline that collects live job postings, cleans and structures the data, and loads it into a database. That means questions like “which skills are most in demand for data roles?” can be answered with fresh data instead of guesswork.

    Python · SQL · Adzuna API · extract → transform → load

    GitHub

  2. ~/projects/airbnb-price-predictor

    Airbnb Price Predictor

    Dissertation

    A machine learning model that predicts the nightly price of an Airbnb listing from its features. Built end to end: data cleaning, feature engineering, model selection, and evaluation.

    Python · pandas · scikit-learn

    Try it live GitHub

  3. ~/projects/bluesky-sentiment-analyser

    Bluesky Sentiment Analyser

    Analyses posts from the Bluesky social network, searched by topic or by user, to measure how positive or negative the conversation is.

    Python · NLP · Bluesky API

    GitHub

  4. ~/projects/medmcqa-llm-baseline

    MedMCQA LLM Baseline

    Benchmarks how well large language models answer medical exam questions, establishing a baseline for further research.

    Python · LLM evaluation · FLAN-T5 fine-tuning, Mistral inference

    GitHub

Experience

  1. May 2026

    Data & BI Work Experience

    Boots UK, Nottingham

    Shadowed a data analyst using Power BI to track chilled food sales and target stock distribution across stores; saw how commercial data feeds product and supply decisions at a major UK retailer.

  2. Nov 2025

    Data & Engineering Placement

    Tillo, Hove

    Worked daily with the data engineering team in Python and SQL alongside cloud analytics and database tooling. Delivered a machine learning project on internal data from initial brief to a finished, documented model presented to the team. Contributed to standups, retros and sprint planning in an Agile environment.

  3. 2024 – 2025

    Customer Team Member

    Co-op, Nottingham

    Increased average weekly membership signups by 25% through targeted customer engagement; helped cut high-value stock wastage by ~30% in two months.

  4. 2023 – 2026

    BSc (Hons) Computer Science with AI

    University of Lincoln

    Predicted First Class Honours. Dissertation: the Airbnb Price Predictor in the projects above.

Skills

Python (pandas, scikit-learn, PyTorch)
Daily driver on placement and throughout my degree
SQL
Joins, aggregates, subqueries; used commercially at Tillo
APIs & data collection (requests)
API clients for job postings (Adzuna) and social posts (Bluesky)
NLP & LLM tooling (NLTK, Hugging Face Transformers)
Sentiment analysis; fine-tuning and evaluating language models
Power BI
Building dashboards on real datasets
Git & GitHub, Linux, MySQL, R, Gradio
Supporting toolkit