Sean Law is a senior applied scientific researcher and data scientist currently working with a multi-talented Exploration Lab team and serves as an advisor on an enterprise A.I. Council at TD Ameritrade. He has experience producing cutting edge methodologies, building high-performance predictive models, and developing rapid prototypes. Additionally, he is one of the co-organizers of PyData Ann Arbor and is also the creator and core maintainer of STUMPY, a powerful and scalable open source Python library that can be used for a variety of time series data mining tasks.
This beginner-friendly talk will describe a common time series data mining task, establish the background and intuition for tackling this problem, and introduce STUMPY, a powerful and scalable Python package that can help take your exploratory time series analysis to the next level.