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Work

Current Employment

Advantage Smollan [2021-present]

  • Senior Data Scientist
    • Key technologies: Alteryx, Python, PySpark
    • I am responsible for all of the Central data science products, with a remit that covers all of our European operating companies.
    • I designed data products designed to be standardised and used across all markets.
    • I led sessions to explain the Data Science products to stakeholders across the business from account executives to managing directors.
    • I migrated our Alteryx processes to Azure Synapse and PySpark; recreating and refactoring existing products.
    • I helped plan new products for the Central Data & Tech roadmap; I assisted with the creation of the Central Data & Tech five-year strategy.
    • I contributed to working groups on the adoption of Generative AI within the business.
    • I consulted with stakeholders throughout the business to improve existing processes and design bespoke solutions to their problems.
    • I led interviews for roles in the Data team, mentored them, and directed their day-to-day work.

Previous Employment

Incora (formally Pattonair) [2018-2021]

  • Senior Machine Learning Analyst, Data Science

    • Key technologies: Python, H2O, Graph DB
    • I acted as Technical Lead for SIOP-related ML projects, driving the technical direction of the products, ensuring consistency of coding standards, and unifying the technical vision across multiple work streams.
    • I built new machine learning models for forecasting customer demand and retuned existing models to ensure accuracy remained acceptable.
    • I maintained the feature/issue log for BAU processes and ensured continual progress was made.
    • I researched new technologies for improving processes and expanding capabilities.
    • I helped scope out potential projects and refine suggestions for the Data Science roadmap.
    • I mentored junior colleagues in the team and helped conduct interviews.
  • Machine Learning Analyst, Forecasting, Planning, & Inventory

    • Key technologies: Python, H2O SQL, MongoDB
    • I built machine learning models for forecasting customers' item demand.
    • I generated, maintained, and validated the results of monthly forecasts from existing models .
    • I enforced data quality standards for the monthly forecasts and updated accuracy stats on customer accounts.
    • I maintained documentation for the forecasting engine.
    • I created tools for reporting system performance and forecasting recommendations both horizontally and vertically within the business.

Experian (Marketing Services) [2014-2018]

  • Data Analyst, Data Science

    • Key technologies: WPS / SAS, T-SQL / MS SQL Server
    • I maintained, created, and validated the results of annual data analysis for Experian data products, including ConsumerView and Mosaic segmentations.
    • I maintained and created documentation for data products.
    • I created a set of bespoke analytics on Experian's Financial Strategy Segments data product.
    • I defined WPS coding standards and defined best practices for version control using Git.
    • I enforced data quality standards and produced accuracy stats on data products.
  • Data Developer, Data and Application Development

    • Key technologies: Alteryx, T-SQL / MS SQL Server
    • I designed and built core databases for the GDPR readiness project, Experian production platforms, and data products.
    • I represented Experian at the neo4j developer conference.
    • I supervised and guided junior colleagues' work, and advised senior colleagues, management, and stakeholders.
    • I implemented, maintained, and supported data products including ConsumerView, Location Analyst, and Segmentation Portal.
    • I analysed and audited data and specifications for Experian data products and production platforms.
    • I created a range of documentation for development and operational teams.

University of Nottingham [2013-2014]

  • Data Analyst, Executive Project Management Office

    • Key technologies: Excel, VBA
    • I collated financial data to track positive and negative contributions to course and module income.
    • I automated the generation of standardised reports and graphs based on the summary data (using VBA).
  • Data Analyst, Market Intelligence Unit

    • Key technologies: Excel, VBA
    • I created dashboards to allow end users to access strategic slices of large datasets.
    • I automated the generation of standardised reports and graphs based on the summary data.
    • I created customisable graphs to allow end users to compare categories of their choice.
    • I automated the modification of pivot tables within Excel.
    • I extracted data from large collections of Excel files using VBA macros.

Almor Group [2013]

  • Excel Programmer (Contract)
    • Key technologies: Excel, VBA
    • I used VBA and Excel formulae to generate monthly profit and loss account reports.
    • I handled confidential financial data.

University of Reading [2006-2011]

  • Research Technician, School of Systems Engineering

    • Maintenance of the RedGloo social network site.
    • Assisted the Enable project.
    • Ensuring audio files were correctly encoded and usable.
  • Demonstrator / Tutor, School of Systems Engineering

    • Supervising, supporting, and presenting C, C++, VBA, and Access lab sessions/lectures.