Summary
Alexander Rohl is a Data Science Researcher and PhD student with nine years of experience applying mathematical rigour to real-world, text-heavy problems across defence, energy and maintenance domains. Currently at Defence Science and Technology he works on big data, NLP and predictive modelling, building on applied projects like pump-maintenance prediction from free-text work orders and energy modelling for astrophysics during an ICRAR summer internship. He has industry experience at Woodside and Starling Energy where he developed fault-detection reports, chatbots and predictive analytics, and a background in cybersecurity-focused data science research. A Bachelor of Philosophy (Hons) in Mathematics and Data Science and an exchange semester at NUS underpin his strong theoretical foundation and cross-cultural perspective. Ambitious to lead a global research team, he combines hands-on modelling and production-minded analytics with a knack for translating noisy text data into actionable predictions.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Philosophy (Hons), Mathematics and Data Science, Bachelor of Philosophy (Hons), Mathematics and Data Science at The University of Western Australia
University of Adelaide
Perth Modern School
Undergraduate Exchange Semester, Mathematics and Computer Science, Undergraduate Exchange Semester, Mathematics and Computer Science at National University of Singapore