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@vc1492a

Valentino Constantinou

vc1492a
Pasadena, California

Thanks for coming to my sponsor page!

I work at Terran Orbital as the lead for data science. I worked 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 which are readily by the thousands each month! Wow!

My top library is PyNomaly which is about leveraging 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 314

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