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David Foster

David Foster

London, United Kingdom
Member since February 12, 2017
David is a data scientist with the proven ability to deliver scalable, data-driven solutions to complex problems, using machine learning, mathematical optimization and statistical modeling techniques. He has won several international machine learning and data visualization competitions and is ranked as a competition expert on Kaggle (the online data science platform).
David is now available for hire
  • Applied Data Science
    R, Python, Django, SQL Server, Google Cloud, TensorFlow, Azure ML
  • Findmypast
    R, Python, SQL Server, Neo4J, Graph Databases, D3.js, Linux
  • Global
    R, Python, SQL Server, Tableau
  • R, 7 years
  • SQL, 6 years
  • Microsoft SQL Server, 5 years
  • Tableau, 4 years
  • Neo4j, 3 years
  • Azure Machine Learning, 2 years
  • Microsoft Power BI, 1 year
London, United Kingdom
Preferred Environment
Linux, macOS, R, Python, SQL Server, PostgreSQL
The most amazing...
...project I've ever delivered is a lead prioritization engine that predicted the most valuable clients to contact each day for a sales team of over 200 people.
  • Co-Founder | Partner
    Applied Data Science
    2017 - PRESENT
    • Co-founded a London-based consultancy where we deliver fixed cost, scalable data science solutions for clients.
    Technologies: R, Python, Django, SQL Server, Google Cloud, TensorFlow, Azure ML
  • Senior Data Scientist
    2016 - 2017
    • Used graph database technology (Neo4J) to find links between genealogical records.
    • Built and deployed a customer churn predictor and a live behavioral segmentation of the user base.
    • Built a tool to visualize user flows through the website using D3.js.
    • Developed a machine learning algorithm to assess the valuation of assets in AzureML.
    • Managed a data scientist and scoped new work for the data science team.
    Technologies: R, Python, SQL Server, Neo4J, Graph Databases, D3.js, Linux
  • Data Scientist
    2013 - 2016
    • Designed and built the negotiation recommendation engine used by local sales teams—to recommend client-specific discounting strategies.
    • Delivered a stochastic model to optimize the split of inventory between the revenue streams channels.
    • Centralized actionable dashboards for revenue, inventory, and client churn reporting across the company; using Tableau and D3.
    Technologies: R, Python, SQL Server, Tableau
  • Analyst
    2012 - 2013
    • Designed and built a model for client to predict form and workload volumes from the forecasted enrolment scheduled.
    Technologies: R, SQL Server, Excel
  • Languages
    R, SQL, Python
  • Tools
    Tableau, Azure Machine Learning, Microsoft Power BI, Optimizely
  • Libraries/APIs
    Twitter API
  • Storage
    Neo4j, PostgreSQL, Microsoft SQL Server, Google Cloud, MySQL
  • Frameworks
  • Platforms
    Linux, Mac OS
  • Master of Science in Management Science and Operational Research
    Warwick Business School | University of Warwick - Warwick, UK
    2011 - 2012
  • Postgraduate Certificate in Education (PGCE) in Mathematics
    University of Bedfordshire - Bedfordshire, UK
    2010 - 2011
  • Master of Arts in Mathematics
    University of Cambridge - Cambridge, UK
    2007 - 2010
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