David Payne

Experience

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  Raleigh International

  Oct 2015 - Dec 2015

  Volunteer

  Worked on a sustainable development project looking to supply clean drinking water to a remote, rural village of around 50 people through building an aqueduct system and storage tanks capable of delivering water to each household on demand. The project focused on being self-sufficient through education of locals on how to build and maintain the system. The team consisted of 4 sections, one of which David was responsible for managing and maintaining communication with other sections. Regular community meetings were organised in order to assess the need of the villagers and deal with issues. Worked as part of a multinational team including British, Costa Rican, American and Nicaraguan volunteers. Show less

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  Madras College via The University of St Andrews

  Sept 2017 - Dec 2017

  Teaching Experience

  Gained experience teaching Physics at a comprehensive secondary school. Worked with underachieving students within class and in after school clubs, developing methods of communicating physics in a way that was attainable to them. Intuition was required as to when to get help from staff with the relevant training in how to deal with difficult and sometimes aggressive students. The main area of research looked at forming an inclusive lesson plan to students who used English as second language.

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  PwC

  Oct 2018 - Sept 2019

  Associate

  Nov 2018 - Jan 2019: Worked as an AML Analyst for the AML Central support team.Jan 2019 - Sep 2019: Worked as an AML Analyst for a multinational company within the energy industry. Experience working with cases that are located anywhere in the world and difficult jurisdictions.Jan 2019: Financial Crime Operations KYC/AML - Training Programme

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  Phillips-Medisize

  Sept 2020 - Mar 2021

  Graduate Engineer

  Sep 2020 - Feb 2021: Manufacturing Rotation - Worked on the Automation transition in the assembly production side of the factory. Designed and produced fixtures and tools used in the manufacturing process. Practiced Lean Six Sigma, DMAIC and 6S principles while working on continuous improvement projects.

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  UCL

  Sept 2021 - Apr 2023

  Carried out research as part of the Optical Networks Group at UCL. Research focused on using AI to optimise Integrated Photonic components. Undertook a Masters in Research (MRes) in Photonics systems. Research was carried out at both the University College London and the University of Cambridge.

  • Postgraduate Researcher

    Sept 2022 - Apr 2023

  • MRes Student in Connected Photonic and Electronic Systems at UCL and Cambridge

    Sept 2021 - Sept 2022
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  Kubrick Group

  Apr 2023 - Jul 2024

  Machine Learning Engineer

  Kubrick’s Machine Learning Engineers use advanced algorithms to solve business problems at scale. Pragmatic and business-focused, Kubrick consultants are experienced in Agile working environments. I use automated pipelines to integrate machine learning models into the production lifecycle. I have learned the mathematical concepts behind complex models but write industry best-practice code to deploy them efficiently.My technical training included: • Strong foundation in Python and supporting tools• Standard machine learning algorithms and the mathematics behind them• Good practice in programming and DevOps• Essential tools to deploy ML pipelines locally and in the cloud• Key business skills to effectively communicate results Our projects in Python included sentiment analysis and an end-to-end pipeline comparing multiple algorithms for churn prediction. With these skills, I can build, assess, and deploy ML models in a real-world environment. I can understand the strengths and limitations of my solutions and can explain deep concepts in simple language to engage and convince business stakeholders. Show less

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  StormHarvester

  Jul 2024 - now

  Data Analytics & Machine Learning Engineer