Technologies

Programming Languages

Python, SQL

Delivery

Agile, Scrum, Git, DevOps

Data Analysis & Visualisation

Pandas, Plotly, Streamlit

Azure Cloud Services

AutoML, Python SDK, CLI

Machine Learning

Predictive (Scikit-Learn)

Computer Vision (YOLO v5)

Office 365 Suite

SharePoint, Excel, Project,

Power BI

Qualifications

Master of Engineering (MEng),

The University of Southampton

Azure Data Science Associate

IAM Certification Institute of Asset

Management

A Levels, Maths A, Further Maths A,

Physics A, Chemistry

Employment

Atkins Réalis Data Science Consultant

(Nov 2020 – Present)

Wastewater Network Investment Optimisation

• Translated complex client requirements into a multi-objective optimisation framework using Python and working alongside water modellers to validate a suitable genetic algorithm (NSGAII).

• Automated wastewater network modelling, significantly improving efficiency through the batch creation and evaluation of AI generated networks.

• Deployed a web dashboard to explore optimal investment upgrades and a heatmap of critical equipment in the graph network. AI Camera Trap Detection

• Engineered a cloud-based detection tool to automate wildlife monitoring, reducing manual review hours with MegaDetector, an object detection model.

• Developed a video and image processing pipeline, generating labelled animal data for both ecologists and machine learning engineers.

• Improved model accuracy through a logistic regression meta-model and increased speed with an adjustable frame skipping feature. Plant Availability Optimisation

• Conducted cost benefit analysis of design configurations and maintenance strategies, reducing potential downtime, and enhancing operational efficiency.

• Probabilistic modelling (Monte Carlo) of large systems within the Net Zero sector including fusion plants, carbon capture and hydrogen production.

• Delivered technical dashboards, reports, and presentations to clients for intelligence-led system design.

Defence Asset Monitoring

• Facilitated stakeholder interviews for information gathering and provided asset information consulting to enhance operational visibility across defence systems.

• Implemented ETL processes to streamline the integration of equipment databases, enabling the formulation of asset management plans and risk registers.

• Recouped over 200 hrs of project budget by developing dynamic spares management spreadsheets.

Matthew House

Matthew is a data science consultant with 3 years of experience in data analysis and design optimisation for the energy and utilities markets. At Atkins Realis he plays a pivotal role in the data intelligence team, delivering python-based projects that enhance operational asset performance through data-driven solutions. He is adept at driving collaboration, articulating complex solutions, and strategically aligning technical projects with client and stakeholder objectives. Contact

ad4vvu@r.postjobfree.com

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