interested in timeseries forecasting, specifically anomaly detection techniques
to learn from experienced people (who are also interested in the same things as me)
to contribute to the suite of open-source tools, specifically, transferring new research into good quality code within an existing framework
to join a community of collaborators
learn best coding practices to create modules that can be widely used on a variety of problems
What topics are you working on?
Broadly speaking, my research topic involves anomaly detection in high-dimensional data. This is an opportunity to translate existing research into code (that exists in R but is yet to be written in python).
In sktime, I have worked on a few introductory bug fixes:
Issue #2385
Issue #2386
What are your learning goals?
improve software development skills i.e. best practices in the full-scope module development (add annotators to sktime)
gain a deeper understanding of the stats/maths behind the chosen projects (I chose the topics because they looked interesting and will be useful in my PhD work and hopefully many others' work)
What's next for you after the mentorship program?
Participation in GSoC 2022
In the long-term, I'm planning to translate my own research ideas into usable/useful code (possibly within or interfacing sktime).
Mentee: Katie Buchhorn (she/her)
Mentor(s): @lmmentel @fkiraly @Lovkush-A
Why did you join sktime's mentorship program?
What topics are you working on? Broadly speaking, my research topic involves anomaly detection in high-dimensional data. This is an opportunity to translate existing research into code (that exists in R but is yet to be written in python).
In sktime, I have worked on a few introductory bug fixes: Issue #2385 Issue #2386
What are your learning goals?
What's next for you after the mentorship program? Participation in GSoC 2022 In the long-term, I'm planning to translate my own research ideas into usable/useful code (possibly within or interfacing sktime).