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@vc1492a

Valentino Constantinou

vc1492a
Pasadena, California

Thanks for coming to my sponsor page!

I work in various domains, such as anomaly detection, forecasting, and data mining, and have developed approaches with a strong focus to let them work in real-world applications.

My open-source projects

In my free time, I like to work on my open-source libraries!

PyNomaly leverages Local Outlier Probabilities for anomaly detection from static or streaming data.

If you want more cool features then I need you as a sponsor!

It is very cool to have so many downloads! Love it! but the increasing number of users also increased the number of questions and requests. I now spent many hours in the evenings and weekends answering your questions, and I'm very happy to keep doing that! However, like most of you, I can spend time only once, which leaves me no time anymore for the development of new functionalities. I would love to spend more time developing new (core) functionalities.

Become a sponsor by Github donations.

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My Google Scholar page

If academic work interests you, see how I am applying data science in the context of the aerospace industry by checking out my Google Scholar profile.

1 sponsor has funded vc1492a’s work.

@vc1492a

5 sponsors a month would allow me to develop useful data science software!

@rafaelkallis

Featured work

  1. vc1492a/PyNomaly

    Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

    Python 317

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