Experience

  1. Software Engineering in Industry Programme

    JPMorgan Chase & Co

    Responsibilities include:

    • Led project team as part of 10-week program, winning expo against 8 other teams, receiving award from Managing Directors.
    • Developed full-stack banking app under SCRUM / TDD & OOP practices, leveraging Python (Django), Git, Docker, Jira, etc. Engineered functionality, RESTful APIs (Swagger), CI pipelines (Jenkins) & conducted code reviews & pair programming.
  2. Research Assistant (Data Science)

    Bournemouth University

    Responsibilities include:

    • Individually designed/delivered full-stack meta-learning data application as part of Horizon EU Program (ExtremeXP), enabling interactive ranking/comparison of dataset similarity via statistical analysis.
    • Built recommendation system, returning best-performing models/parameters from analysis of historically similar datasets.
    • Presented outputs within research group (professors, postdocs, PhD students). Invited to present remotely to ExtremeXP conference in Oslo.
  3. Data Engineer (Secondment)

    Cabinet Office (UK Government)

    Responsibilities include:

    • Implemented automated scheduling system with email alerts, tracking analytical products, reducing delays & ensuring timely deliveries of senior gov briefings.
    • Enhanced full-stack infrastructure serving 100+ high-level civil servants across Cabinet Office, 10 Downing Street, and ONS using Django, Docker & Git. Focused on OOP, architectural patterns, unit tests, code quality & performance, and agile workflow with Jira.
    • Developed LLM-driven chart summarisation system with RAG for 320+ visualisations for internal platform, ensuring WCAG accessibility and key insight extraction.
  4. Data Scientist (Placement)

    Cabinet Office (UK Government)

    Responsibilities include:

    • Developed cross-collaboratively two critical end-to-end data pipelines as part of two-person teams, each earning prestigious In-Year Awards at Department (2023) & Secretariat (2024) levels:
      • Integrated multidimensional data from 3+ gov departments, with time-series forecasting and geospatial analysis for weekly briefings to UK Chief Medical Officer, UK National Statistician & 30+ directors.
      • Leveraged AWS infrastructure, creating Python data pipelines to process/visualise real-time data from 5+ departments, creating interactive dashboards for ministers, special advisers & military leadership.
    • Led cross-gov analyst meetings, alongside gov/parliament/private sector consultations for data-sharing projects. Delivered internal upskilling sessions to enhance team capabilities and industry awareness.
  5. Software Engineer

    Twin Atlas

    Responsibilities include:

    • Engineered weekly updates to front & back-end feature architecture for live game, supporting team to win Annual Innovation Award for Best Creative Direction @ 2022 Industry Developer Conference.
    • Optimised existing codebase & features, refactoring 30K lines of code affecting testing & live production databases driving performance increase for mobile platforms affecting over 6.8M users.
  6. Technical Artist

    Sonar Studios

    Responsibilities include:

    • Re-designed UI & UX user experience through complete rebrand of game interface, increasing player engagement with interface functionality by 47% affecting 9M MAU across computer, console & mobile.
    • Collaboratively produced game maps through Blender, World Machine & Photoshop, supporting team to win Annual Innovation Award for Favourite Map @ 2021 Industry Developer Conference.

Education

  1. BSc Data Science and Analytics

    Bournemouth University

    Thesis on improving constituent political engagement through access to localised political information via augmented LLMs. Supervised by Prof Vegard Engen.

    Grade: (Predicted) First Class Honours

    • Year 1: First Class
    • Year 2: First Class
    • Year 3: First Class

    Notable courses included:

    • Application Programming (94%)
    • Deep Learning (92%)
    • Tools of Data Science (90%)
    • Data Management (82%)
    • Principles of Programming (81%)
    • Data and Databases (81%),
    • Machine Intelligence (80%)
    • Systems Design (72%)
    • Project Management (72%)

    View App | View Repo

    Read Thesis
Technical Skills
Python (Django, Flask, Streamlit)
SQL
Lua (LuaU)
Machine Learning (TensorFlow/Keras, scikit-learn)
NLP (NLTK, Gensim, BERT)
Agentic Systems (LangChain)
Data Processing (Pandas/Geopandas, NumPy, Selenium, BeautifulSoup4)
Data Visualisation (Altair, Plotly, Matplotlib, NetworkX)
Documentation (Pandoc, LaTeX)
AWS Infastructure (DynamoDB, S3, Bedrock, Lambda, IAM)
Application Testing (pytest, pytest-bdd, pytest-tdd)
Collaboration (Git/GitHub, Docker, Jira, Anaconda, SCRUM, Sentry)