Keir Logan
About Keir Logan
Keir Logan is an Operations Engineer with a background in physics and data science. He has experience in various roles, including as a Learning Assistant and Election Engagement Assistant, and is currently focused on machine learning applications in legal technology at Luminance.
Current Role at Luminance
Keir Logan serves as an Operations Engineer at Luminance, a position held since 2021. In this role, he explores the application of machine learning technology within legal technology. His work involves utilizing statistical analysis techniques to inform decisions and enhance operational efficiency.
Previous Experience
Prior to his current role, Keir Logan gained diverse experience in various positions. He worked as a Learning Assistant at Dynamic Earth for one month in 2017. In 2021, he served as an Election Engagement Assistant for one month at the City of London Corporation. Additionally, he completed a two-month internship as a Data Science Intern at Infosys Limited in 2019 and worked as a Masters Researcher at Institut Néel CNRS for eight months from 2019 to 2020.
Education and Qualifications
Keir Logan holds a Master of Science in Physics from Imperial College London, where he studied from 2017 to 2021. He also studied at Grenoble INP - Phelma, completing a Master of Science from 2019 to 2020. His educational background includes advanced studies in Physical Sciences at Broughton High School, where he achieved SQA Advanced Highers, and traditional music studies at Sgoil Chiùil na Gàidhealtachd, where he received a scholarship.
Language Proficiency
Keir Logan is fluent in French at CEFR Level B2. He developed this proficiency during an exchange year at Phelma, Grenoble INP, France. His language skills complement his academic and professional pursuits, particularly in international contexts.
Technical Skills
Keir Logan is proficient in Python programming, with a focus on data analysis, machine learning, and object-oriented programming. He applies these technical skills in his current role and has utilized statistical analysis techniques to support informed decision-making in various applied scenarios.