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Michael Peth, Ph.D. is a Data Scientist at Meta at Meta. He possess expertise in physics, science, latex, python, data analysis and 17 more skills.
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Data ScientistMeta Sep 2022 - PresentMenlo Park, Ca, UsData Scientist working on Brand & Performance Marketing team -
Senior Data ScientistShopify Nov 2020 - Sep 2022Ottawa, On, Ca -
Staff Data ScientistDecile Mar 2020 - Oct 2020Washington, Dc, Us• Built a propensity-to-purchase model based upon client’s first party transaction data to create an audience of clients’ “most likely to purchase” customers.• Developed models to calculate predicted customer lifetime values (LTV) based upon their transaction history for both subscription and non-subscription based clients.• Spearheaded and directed the summer engineering internship program. Responsibilities included: recruiting candidates, interviewing candidates, co-ordinating weekly colloquia, and performing exit interviews.• Managed summer engineering intern. Identified research problem and suggested tools and methods to develop skills and achieve research goal. Mentored intern, providing career advice, consistent feedback and coaching.• Designed heatmap visualization to highlight the value of specific customer cohorts over time (Including predictions on future customer value.) -
Senior Data ScientistDecile Mar 2018 - Mar 2020Washington, Dc, Us -
Data ScientistDecile Aug 2016 - Mar 2018Washington, Dc, Us -
Graduate Student Research AssistantJohns Hopkins University May 2011 - Jun 2016Baltimore, Md, Us• Characterized and classified galaxies using machine learning techniques (such as principal component analysis (PCA) and random forest) and galactic statistics to study the evolution of galaxies.• Examined time series cross-correlations in physical parameters of simulated galaxies.• Reduced raw Hubble Space Telescope observations into usable products. Prepped many large mosaic images (over 150 GBs in total) observed at different wavelengths and proceeded to blur higher resolution images to match the lowest resolution images. Extracted meaningful data from astronomical images to create highly cited data products.• Published lead author papers in a peer-reviewed journals. Presented results at national conferences and workshops. -
Graduate Student Teaching AssistantJohns Hopkins University Aug 2010 - May 2015Baltimore, Md, UsIntroductory Physics 1 and 2 for Engineers. • Taught recitation section where students and I collaboratively solved homework related problems. Held weekly office hours and monthly review sessions.General Physics Lab I and II • Prepared short presentation to introduce weekly lab assignment. Solved problems that arose with lab experiments.Planets, Life, and the Universe • Wrote and graded the exam and homework assignment for a Biology/Astronomy/Geology interdisciplinary course. Led in class discussion on various topics of astronomy, cosmology and parallel universes.Graduate Galactic Dynamics • Graded homework and exams for first year graduate astrophysics class.
Michael Peth, Ph.D. Skills
Michael Peth, Ph.D. Education Details
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The Johns Hopkins UniversityAstronomy And Astrophysics -
Penn State UniversityAstronomy And Astrophysics
Frequently Asked Questions about Michael Peth, Ph.D.
What company does Michael Peth, Ph.D. work for?
Michael Peth, Ph.D. works for Meta
What is Michael Peth, Ph.D.'s role at the current company?
Michael Peth, Ph.D.'s current role is Data Scientist at Meta.
What is Michael Peth, Ph.D.'s email address?
Michael Peth, Ph.D.'s email address is mi****@****ify.com
What is Michael Peth, Ph.D.'s direct phone number?
Michael Peth, Ph.D.'s direct phone number is +124030*****
What schools did Michael Peth, Ph.D. attend?
Michael Peth, Ph.D. attended The Johns Hopkins University, Penn State University.
What are some of Michael Peth, Ph.D.'s interests?
Michael Peth, Ph.D. has interest in Science Policy, Big Data, Literature, Extra Galactic Physics, Astrostatistics, Galaxy Morphology, Data Mining.
What skills is Michael Peth, Ph.D. known for?
Michael Peth, Ph.D. has skills like Physics, Science, Latex, Python, Data Analysis, Statistics, Astrophysics, Mathematica, Teaching, Scientific Computing, Astronomy, Machine Learning.
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