Rhys Wells

Rhys Wells

Phd Researcher Assistant (Nuffield Research Placement)

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  • Timeline

  • About me

    Data Scientist | Problem Solver | PhD Mathematics

  • Education

    • University of Liverpool

      2019 - 2023
      Doctor of Philosophy - PhD Pure Mathematics: Algebraic Geometry

      My research focused on providing and implementing algorithmic methods to analyse combinatoric structures associated to fine compactified Jacobians.

    • University of Glasgow

      2014 - 2019
      M.Sci M.Sci Mathematics First Class

      Activities and Societies: GSUOTC, Boxing, Tutor, Class rep, Marker

  • Experience

    • University of Strathclyde

      Jun 2013 - Aug 2013
      Phd Researcher Assistant (Nuffield Research Placement)

      Working researchers in the organic chemistry labs developing various solvent selection guides to be published in the journal of Green Chemistry, this work concluded in a poster presentation to the school.

    • Self Employed

      Sept 2014 - Sept 2018
      Private Tutor

      Tutored an average of four high school students in Maths, Chemistry and Physics a year, these pupils ranged from S1-S6 students. This involved planning lessons and issuing homework.

    • British Army

      Sept 2015 - Feb 2017
      Officer Cadet (Glasgow and Strathclyde University Officer Training Corps)

      Participated in officer training, classroom training, weapon handling and outdoor exercises.

    • University of Glasgow

      Jun 2017 - Aug 2017
      Undergraduate Researcher (Carnegie Trust Vacation Scholarship)

      Working under the supervision of Dr Chris Athorne, studying the algebraic structure of low genus curves, by making use of the theory of resolutions, exact complexes and representation theory to describe model curves of complex manifolds.

    • University of Glasgow

      Sept 2018 - Mar 2019
      Graduate Teaching Assistant

      Responsible for assessing and giving written feedback to the second year undergraduates, along with supporting students in a tutorial structure to attain the intended learning outcomes.

    • University of Glasgow

      Jun 2019 - Aug 2019
      Lead Content Creator for Mathematics

      Generating and writing questions for exercise, feedback and tutorial sheets to meet the intended outcomes of the material. Developing interactive homework assignments on Webassign and classroom response questions on YACRS.

    • University of Liverpool

      Sept 2020 - Nov 2023
      Graduate Teaching Assistant

      Modules included: vector calculus, linear algebra and statistics.

    • Pulse - The Education Place

      Sept 2022 - Nov 2023
      Mathematics Tutor

      Led support sessions for high school students.

    • Science to Data Science (S2DS)

      Feb 2024 - Mar 2024
      S2DS (Science-to-Data-Science) Fellow

      This is an intensive 5 week workshop designed to assist academic researchers transfer their skills to data science. During the programme I worked in a group of four on a project with the CGG (a global leader in HPC).The aim was to provide a application that used a LLM to streamline the refactoring transformation from a jupyter notebook into production ready code. Additionally we were also tasked with quantifying the output of the LLM to measure performance of results. As part of the programme I: - Delivered presentations to the S2DS cohort as well as business leaders interested in data science.- Developed a working application, with a user interface using Click to build a CLI. Structured code modularly with the view for future functionality to be added.- Engineered LLM prompts for each stage, accessed the LLM with an API using the Langchain package, interpreted the results and measured the performance of the response using Pylama.- Generated and tested unit tests using Pytest.- Explored the benefits/cons of different LLM's and analysed the cost structure on implementing certain LLM's.- Collaborated with the other 4 members of the team through Git/Github. Show less

    • Loch Lomond Rescue Boat

      Mar 2024 - May 2024
      Data Analyst

      Led a comprehensive data analysis initiative on preparedness, prediction, and social media impact to optimise operational effectiveness and strategic decision-making. Generated a detailed report highlighting insights and actionable recommendations.• Implemented data cleaning methods ensuring dataset reliability.• Fostered stakeholder collaboration, tailoring analytical approaches.• Delivered board presentation fostering informed discussions.

    • Scottish Tech Army

      Mar 2024 - Dec 2024
      Digital Consultant

      Collaborated with the Global Legal Action Network (GLAN) to modernise file management and streamline legal workflows. Delivered strategic guidance on system migration and workflow optimization to enhance operational efficiency. Research: Conducted in-depth assessments of GLAN’s existing file storage and management practices, identifying inefficiencies and recommending Azure for operational file management. Design: Designed a scalable, structured folder hierarchy for Azure, ensuring long-term clarity and accessibility for users. Recommended tools for file structure mapping, including TreeSize, to facilitate migration planning and operational readiness. Documented Azure setup procedures and provided a roadmap for onboarding and training staff. Client Relationship: Advised on the implementation of LEAP for legal case management, including considerations for licensing, data migration strategies, and cost management. Identified challenges such as resource constraints and system access limitations, proposing actionable solutions for phased implementation. Show less

    • Veolia

      Jul 2024 - now
      Data Engineer

      Led the change toward digitalisation initiatives, built Power BI dashboards, facilitated financial data reconciliation, introduced financial flash predictions using telemetry data. Designed and wrote procedures from ambiguous business processes. Internal auditor of procedures and database administrator.Optimized departmental operations and financial processes - using telemetry data - reducing quarterly reporting by 8 days. Developer for a web-based tool for cleaning, forecasting, and anomaly detection of timeseries data (Streamlit, FastAPI, Production Code, CI-CD). Show less

  • Licenses & Certifications