Thomas Matcham

Thomas Matcham is an accomplished data scientist with a strong background in commercial research and data analysis. With a track record of developing innovative algorithms for event data analysis, he excels in consumer analytics for apps, websites, and video games. Thomas possesses a diverse skill set encompassing all facets of the data science process, from data collection to advanced modeling and deployment.

Having studied Msci Mathematics with 1st Class Honours at Imperial College London, Thomas Matcham brings a solid academic foundation to his professional endeavors. He also attended Simon Langton Grammar School for Boys.

Throughout his career, Thomas has held key positions in various prestigious organizations, including Data Science Consultant at Sensyne Health, Associate Director of Data at Method, and Data Scientist at Rare Ltd. He has also contributed his expertise as a Technical Due Diligence Consultant at AI Seed and Founder of TAZ Analytics. With a strong programming background in six languages and expert proficiency in Python, R, and C, Thomas has successfully bootstrapped data science startups to revenue-generating software in a span of three years.

Thomas Matcham's rich professional experience spans roles such as Data Scientist at Microsoft, Contract Data Scientist at Relentless Software, and Contract Game Developer at MASTERS OF PIE LIMITED. He has also served in capacities like Data Analyst at Space Ape Games, Technical Consultant at E-Lexicons Limited, and Managing Director at coAdjoint, showcasing his versatility and adaptability in the tech industry.