Daniel Simeone leads the engineering work at Purpose Analytics, building digital and analytical tools that make it easier for organizations to collect, manage, and analyze data. He excels at fitting together the right technologies for each situation, with a focus on creating robust, maintainable systems that people can rely on.
Previously, Daniel worked as a data scientist in a provincial department of education, including extensive COVID‑response data work. Based in Winnipeg, he speaks English and French and holds an MSc in Mathematics and Statistics and a PhD in History and Classics from McGill University.
