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@alexmiller
Experienced data scientist specializing in machine learning and big data.
I am a dedicated data scientist with a PhD from the University of Glasgow, where I have honed my skills in machine learning, data analysis, and big data technologies. Currently, I lead the data science strategy at the University, driving innovative solutions within the analytics team. My experience includes founding Scoop Analytics, where I developed a platform for financial traders to access market-moving news from social media.
Throughout my career, I have successfully led teams at Solarwinds and iOpt, applying machine learning techniques to enhance product offerings and establish robust data architectures. My internships at Microsoft and Yahoo! Research further solidified my expertise in applying advanced analytics to solve complex problems, achieving significant improvements in data processing and recommendation systems.
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Work history, roles, and key accomplishments
University of Glasgow
Dec 2019 - Present (5 years 11 months)
Leading the data science strategy and execution within the analytics team of the University, focusing on advanced data analysis and machine learning applications.
Solarwinds
Oct 2018 - Dec 2019 (1 year 2 months)
Led a team of 4 data scientists to utilize machine learning techniques to enhance products used by 270,000 customers, improving product performance and user experience.
Scoop Analytics
Jan 2015 - Jan 2019 (4 years)
Founded a spin-out from Glasgow University focusing on automatic detection of news from social media, enabling financial traders to access market-moving news ahead of time.
iOpt
Jul 2018 - Oct 2018 (3 months)
Responsible for the setup of iOpt's data architecture during a short-term contract, focusing on data management and cloud solutions.
Clear Returns
Apr 2016 - Jul 2016 (3 months)
Applied machine learning techniques using Apache Spark to solve big data challenges in the retail industry and established new data warehousing methodologies.
Microsoft
Jul 2015 - Oct 2015 (3 months)
Focused on applying machine learning techniques to large-scale data problems, achieving a 10% improvement using multivariate regression models.
Yahoo!
Oct 2012 - Oct 2012 (0 months)
Worked on improving photo tag recommendation methods for Flickr, utilizing various data processing technologies to enhance user experience.
Airpoint
Feb 2011 - Apr 2012 (1 year 2 months)
Developed mobile applications for the public sector, focusing on frontend development for Blackberry devices, primarily for the Hampshire Police department.
Degrees, certifications, and relevant coursework
Doctor of Philosophy, Computer Science
2011 - 2016
Completed a Doctorate of Philosophy focusing on the role of context in image annotation and retrieval, culminating in a thesis that contributed to advancements in the field of computer science.
Bachelor of Science (Honors), Computing Science
2006 - 2010
Studied Computing Science, gaining a comprehensive understanding of programming, algorithms, and data structures, which laid the foundation for a successful career in data science.
Highers, General Studies
2004 - 2006
Completed Highers with a focus on Mathematics, Physics, Information Systems, and Art, which provided a strong analytical and creative foundation for further studies.
Software and tools used professionally
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