Antony Mitchell
About Antony Mitchell
Antony Mitchell is an Analyst Developer with expertise in machine learning and data science. He holds an Advanced Professional Scrum Product Owner Certification and has a background in Mechanical Engineering and Fluid Mechanics.
Work at Tessella
Antony Mitchell currently serves as an Analyst Developer at Tessella, where he has been employed since 2019. His role involves providing technical leadership to a team of client Data Scientists, particularly in the nuclear industry. He focuses on optimizing asset availability and enhancing data science tools for improved productionalisation, auditing, and reproducibility. His contributions include replacing a complex legacy SQL system with a new Python data pipeline utilizing SQLAlchemy and Pandas.
Education and Expertise
Antony Mitchell holds a Bachelor of Engineering in Mechanical Engineering from the University of Lincoln, where he studied from 2010 to 2013. He furthered his education at the University of Nottingham, earning a Doctor of Engineering in Fluid Mechanics from 2013 to 2017. He possesses an Advanced Professional Scrum Product Owner Certification from Scrum.org. His expertise includes developing machine learning capabilities with forward feed and LSTM-based Artificial Neural Networks, as well as utilizing statistical methods like Lasso Regression and Automatic Relevancy Detection.
Background
Antony Mitchell has a diverse background in engineering and data science. He began his career with internships at Siemens Energy, where he worked as a Combustion Intern in 2011 and an Overhauls Intern in 2012. After completing his undergraduate studies, he worked as a KTP Associate at the University of Strathclyde in 2018. He also spent five years as a PhD student at the University of Nottingham, where he conducted research on droplet impact and fluid visualization techniques.
Research and Publications
Antony Mitchell has contributed to significant research in the field of fluid mechanics and droplet dynamics. He presented experimental investigations into droplet impingement at the ASME International Mechanical Engineering Congress and Exposition. His published research includes a study on droplet impact on static films using the Brightness-Based Laser Induced Fluorescence (BB-LIF) technique, featured in the journal 'Experiments in Fluids'. He also contributed to the ASME Turbo Expo with research on crater morphology for droplets impinging on moving films.
Technical Contributions
In addition to his research, Antony Mitchell has made technical contributions in software development. He developed a Freestyle Kayaking scoring mobile application using React Native and Redux, which is available on the Google Play Store. He also mentors data scientists on writing clean, maintainable code and advocates for Agile techniques and code quality within his team.