Samuel Deeble

Samuel Deeble has a diverse work experience in various roles and industries. In 2015, they worked as a Research Assistant at Gill Instruments Limited, where they developed Matlab simulations to optimize a reflector for a low-powered anemometer. This resulted in updated models.

In 2017, Samuel briefly worked as a Software Developer at EMULATE3D LIMITED.

Samuel then joined the University of Cambridge in 2018 as a Research Assistant, continuing their Masters Thesis work by developing a neural network model in Python and Scikit-learn for predicting the success of patents. Samuel was a named author on the working paper titled "Intellectual Property Analytics Decision Support Tool (IPDST) for Early Stage Technology Decision Making."

Simultaneously in 2018, they worked as an Innovation Consultant at Fluxx, where they consulted for large organizations and applied agile principles to develop new technology products and services.

In 2020, Samuel founded their own company called Deeble Analytics Ltd., where they served as the Director. Samuel developed a Python-based simulation for managing social distancing in shopping centers, using an agent-based modeling approach. Samuel applied existing research and delivered bespoke models, analysis, and reports.

In the same year, they also worked as a Data Engineer at Landsec, where they worked until March 2023.

Currently, Samuel is working as a Senior Data Engineering Consultant at Ensono Digital, starting from February 2023.

Samuel Deeble completed their Master of Engineering (MEng) degree in Manufacturing Engineering at the University of Cambridge from 2014 to 2018. In terms of additional certifications, they obtained the Certified ScrumMaster (CSM) certification from Scrum Alliance in November 2018. Moreover, they earned the Professional Scrum Master™ I (PSM I) certification from Scrum.org in January 2022, the Databricks Certified Data Engineer Associate certification from Databricks in February 2022, and the Microsoft Certified: Azure Data Engineer Associate certification from Microsoft in February 2023.