Summary
Overview
Work history
Education
Skills
Timeline
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Dan Seabrook

Summary

Data Scientist and Mathematics graduate specialising in translating complex business requirements into data-driven solutions. With over 3 years of experience leveraging Python, SQL, and cloud platforms, I have a proven track record of distilling large, complex datasets into actionable insights and interactive dashboards. Dedicated to staying at the cutting edge of the field, I have recently completed a Level 7 AI and Data Science apprenticeship, expanding my technical toolkit with advanced capabilities in supervised and unsupervised learning, time series analysis, neural networks, and deep learning.

Overview

3
3
years of professional experience
6
6
years of post-secondary education

Work history

Data Scientist

Morrisons
09.2022 - Current
  • Contributed to the development of a customer-facing product finder application, designing AI-driven search and matching logic that significantly enhanced the user experience.
  • Developed a data-driven heuristic framework to optimise stock availability and waste targets based on historical performance, supporting a £300k per week reduction in waste with minimal impact to availability.
  • Partnered with supply chain leadership to build automated reporting for over 300 newly acquired retail sites, ensuring the business successfully met strict contractual fulfillment targets of 95%.
  • Collaborated with cross-functional stakeholders and data engineers to define requirements and integrate complex data feeds for a new distribution centre, facilitating high-value reporting for the business's wholesale function.

Education

Level 7 Apprenticeship - AI & Data Science

Cambridge Spark
05.2024 - 12.2025

Bachelor of Science - Mathematics

University of Leeds
Leeds
09.2019 - 05.2022

A-Levels -

Godalming College
09.2017 - 06.2019

Skills

  • Advanced Python and SQL capability, knowledge of common machine learning libraries (Sci-kit Learn, Keras, Tensorflow)
  • Proficiency with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Run/Functions, Cloud Composer) for ETL pipeline automation
  • Experience utilising Jenkins for CI/CD pipelines, as well as Git for collaborative development and version control
  • Interactive reporting using Looker and Looker Studio

Timeline

Level 7 Apprenticeship - AI & Data Science

Cambridge Spark
05.2024 - 12.2025

Data Scientist

Morrisons
09.2022 - Current

Bachelor of Science - Mathematics

University of Leeds
09.2019 - 05.2022

A-Levels -

Godalming College
09.2017 - 06.2019
Dan Seabrook