Claudia Perlich Email & Phone Number

I started my career in Data Science at the IBM T.J. Watson Research Center, concentrating on research in data analytics and machine learning for complex real-world domains and applications. I tend to be domain agnostic having worked on almost anything from Twitter, DNA, server logs, CRM data, web usage, breast cancer, movie rating and many more. I am still actively publishing and have so far over 50 scientific publications to my name as well as a few patents in the area of machine learning. My claim to fame was winning data mining competitions, as well as several awards from industry and academia. I received my Ph.D. in Information Systems from Stern School of Business, New York University in 2005 and hold a Master of Computer Science from Colorado University. Besides my day job I like teaching and am available for panels, presentations, meetups, and debates around big (and small) data.Short disclaimer (I am sorry - I do not wish to offend): If you want to connect, please write a specific note as to why we should connect or where we met in person. Please do NOT reach out with sales requests - if you choose to ignore this suggestion I reserve the right to disconnect and possibly add your email to my collection of unwanted solicitation.Also, I cannot give you a reference or recommendation for any job if I have never worked with you. I am also unable to give you details on some job with my current employer - just apply directly and hope for the best.Thank you!Specialties: - Data Analytics- Predictive Modeling- Machine Learning- Display Advertising- Public Speaking on Technical TopicsCompletely irrelevant fun facts:- used to compete in vaulting (basically doing handstands on a running horse)- have a 17-hand retired race horse called Monkey who is a grandson of Secretariat- still hold some powerlifting records at NYU- have been trying to learn the Busoni version of the Chaconne for the last 5 years (update from 2022 - make this 10)

Listed skills include Data Mining, Machine Learning, Predictive Modeling, Algorithms, and 41 others.