Daniel Boardman

Graduate Analyst / Junior Data Analyst

First-Class Natural Sciences graduate from the University of Exeter with a strong quantitative background in mathematics, physics and coding. Experienced in Python, Julia and Excel for data analysis, modelling, simulation and validation, with basic SQL knowledge. Professional experience in insurance operations, compliance checks and data quality through a Trainee Insurance Technician role at Facet Underwriting. Seeking graduate analyst or junior data analyst opportunities where I can apply structured problem-solving, quantitative analysis and clear communication to real-world business problems.

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Projects
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Skills
Work Experience
Bartender / Festival Support
The Brasenose Arms
Jul 2024 — Sep 2025Cropredy
  • Delivered accurate customer service during high-volume festival shifts, serving hundreds of customers across busy event periods
  • Supported the setup and operation of the village shop and festival bar, including stock preparation, payments and general service
  • Coordinated with colleagues to manage fluctuating demand and resolve operational issues under pressure
Trainee Insurance Technician
Facet Underwriting
Jun 2025 — Jul 2026London, United Kingdom
  • Processed policy documentation and maintained accurate, traceable records across concurrent cases in a regulated underwriting environment.
  • Conducted sanctions and compliance checks for new and existing policies, escalating potential concerns where appropriate.
  • Reviewed client and counterparty information to identify inconsistencies and support onboarding requirements.
  • Used Excel and SharePoint to organise policy and compliance data, supporting data quality, audit readiness and internal controls.
Projects
BSc Research Project: Cloud-State Transition Modelling

Developed and tested conceptual climate models to analyse transitions between cloud states. Investigated parameter sensitivity, system stability and the effects of seasonal and diurnal forcing. Validated model behaviour and communicated assumptions, limitations and findings clearly.

Julia
What Is a Face? Dataset Generator

Co-developed a Python generator producing a dataset of 20,001 synthetic face and non-face images for machine-learning classification. Contributed to validation rules, documentation, version control and project presentations. Supported team delivery by organising meetings, recording decisions and tracking tasks.

PythonGitHub
Skills
Data analysisMicrosoft ExcelPythonJuliaSQLStatistical modellingTime-series analysisData validation and quality assuranceQuantitative modellingProblem-solvingRisk and compliance awarenessWritten and verbal communication
Education & Qualifications
BSc Natural Sciences, Mathematics, Physics and Programming
University of Exeter
Sep 2023 — Jul 2026
A-Levels
Stowe School
Sep 2018 — Jun 2023
Stowe School
Sep 2018 — Jun 2023