Experience

Butternut Box | B Corp

• United Kingdom
• Consumer Goods
• 200 - 300 Employee

• Data Scientist

  • Jan 2023 - Present

  • First data scientist hire for the company. In a team of two, established and proved viability of a data science function in under 3 months.• Built out a Data Mart for Data Science, providing a holistic view of customers from scratch, covering 5-6 areas of the company, including digital behaviour, customer demographic and customer contact. • Created and deployed a suite of predictive and prescriptive ML XGBoost models that score all customers daily ($2/month) for likelihood to churn at different time horizons, yielding up to 8x uplift in identifying churners vs baseline. To optimise these models, designed cross validation and feature selection using backward elimination, improving these models by relative 25%. • Working across teams, with PMs I assisted in automating prescriptive churn treatments, that reduced churn by relative 15% vs baselines, as well as 45% ROI with a payback period of one month. • Single-handedly maintain 6 models, covering churn, reactivation and RAF prediction, including thorough testing and documentation and regular updates to the company through a monthly newsletter and separate Model Performance report. • Solo design and implementation of a data science roadmap. Show less

• Digital Product Analyst

  • Sep 2021 - Mar 2023

  Freshly prepared dog food. Cooked like you would at home. Delivered in perfect portions. We are always looking for talented people to join the Butternut squad. If you love dogs as much as we do, please get in touch. 🐶My role consists of: - Analysing customer behaviour to identify trends to form recommendations on.- Determining KPIs and success metrics for the company to monitor and providing means to monitor these metrics through dashboards, regular reports and visualisations.- Leading the way the company runs A/B tests and experiments, advising stakeholders on how to statistically significantly run these tests by calculating key metrics such as time to run, significant cohort sizes and analysing results for significance after test completion.- Starting data science work to introduce predictive analytics to the company, creating more personalised experiences. Show less



Peak

• United Kingdom
• Software Development
• 200 - 300 Employee

• Data Scientist

  • Nov 2020 - Sep 2021

  • Investigate how data science can help customers gain insights into facilitating procedures in their business. Presented these findings in the form of insight reports, using R Markdown.• Use machine learning techniques, such as regression, classification and ensemble methods like decision trees and random forests, on both customer and transactional data to predict customer behaviours. Gained proficiency in R, Python and SQL to do this initial EDA and machine learning techniques.• Work predominantly with fashion retailers to provide behavioral insights, specifically around Black Friday in preparation for that year’s Black Friday. Show less

• Data Science Intern

  • Aug 2020 - Oct 2020



Newcastle University

• United Kingdom
• Higher Education
• 700 & Above Employee

• Maths Ambassador

  • Nov 2018 - Aug 2021

  Casual work as a Maths Ambassador at Newcastle University assisting at Open Days and group forums.

• Coding Assistant

  • Apr 2019 - Apr 2019

  3 day course based in Newcastle where I helped co-design the lecture notes for the new module. Involved learning the fundamentals of the programming language Python meaning I have since gained proficiency in it.



Leeds City Council

• Government Administration
• 700 & Above Employee

• Records Assistant

  • Sep 2018 - Sep 2018

  Sorting through old confidential documents and disposing of them in accordance to the guidelines given to me by my manager for 3 weeks. Sorting through old confidential documents and disposing of them in accordance to the guidelines given to me by my manager for 3 weeks.



Marks and Spencer

• United Kingdom
• Retail
• 700 & Above Employee

• Customer Assistant

  • Oct 2016 - Jun 2018

  Customer Assistant in the Menswear and occasionally Kidswear departments within the store for just under 2 years. Customer Assistant in the Menswear and occasionally Kidswear departments within the store for just under 2 years.