Michael Pane Email & Phone Number
@8451.com
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Who is Michael Pane? Overview
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Michael Pane is listed as Vice President, Data Science at 84.51° at 84.51˚, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at 8451.com and a matched LinkedIn profile for Michael Pane.
Michael Pane previously worked as Vice President, Data Science at 84.51˚ and Director Data Science at 84.51˚. Michael Pane holds Masters In Statistical Practice (Msp), Statistics from Carnegie Mellon University.
Email format at 84.51˚
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AeroLeads found 1 current-domain work email signal for Michael Pane. Compare company email patterns before reaching out.
About Michael Pane
Michael Pane is a Vice President, Data Science at 84.51° at 84.51˚. He possess expertise in statistics, r, data analysis, sql, latex and 8 more skills.
Listed skills include Statistics, R, Data Analysis, Sql, and 9 others.
Michael Pane's current company
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Michael Pane work experience
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Director Data Science
Lead Data Scientist
Apply Statistical and Machine Learning approaches to turn data into knowledge to help Kroger create sustainable growth by putting the customer at the center of everything.
Senior Data Scientist
Apply Statistical and Machine Learning approaches to turn data into knowledge to help Kroger create sustainable growth by putting the customer at the center of everything.
Data Scientist
Apply Statistical and Machine Learning approaches to turn data into knowledge to help Kroger create sustainable growth by putting the customer at the center of everything.
Teaching Assistant - Statistics Department
Engineering Statistics and Quality Control (Head Teaching Assistant)• Hold weekly office hours to aide students in their preparation for homework and exams.• Grade homework, exams, and handle all grade disputes and administrative matters for the course.Probability and Statistics for Business Applications• Hold weekly office hours for a class of 75 students to ask various questions on material. • Create and grade weekly quizzes to test student’s knowledge on various statistical methods.Statistical Methods and Statistical Reasoning and Practice • Lead two labs of 30 students, proctored exams, graded homework and exams for a class size of 200 students.
Research Assistant - Statistics Department
Developing Bayesian methods in the context of benchmarking in small area estimation for the U.S. Census.
Hotline Consultant
Assist users with grant and account issues, coding, and computing problems.
Health And Group Benefits Actuarial Consulting Intern
Designed, priced, implemented and managed an array of health and group benefits programs for clients.
Sibs - Biostatistic Research Intern
Used analytic and computational skills necessary to address biostatistical methods in the context of compelling scientific questions and real data.Used random-intercept modeling to determine how PDAs affect dietary intake for diabetes patients.
Michael Pane education
Masters In Statistical Practice (Msp), Statistics
Statistics
Frequently asked questions about Michael Pane
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What company does Michael Pane work for?
Michael Pane works for 84.51˚.
What is Michael Pane's role at 84.51˚?
Michael Pane is listed as Vice President, Data Science at 84.51° at 84.51˚.
What is Michael Pane's email address?
AeroLeads has found 1 work email signal at @8451.com for Michael Pane at 84.51˚.
Where is Michael Pane based?
Michael Pane is based in Pittsburgh, Pennsylvania, United States while working with 84.51˚.
What companies has Michael Pane worked for?
Michael Pane has worked for 84.51˚, Carnegie Mellon University, Pittsburgh Supercomputing Center, Towers Watson, and University Of Pittsburgh.
How can I contact Michael Pane?
You can use AeroLeads to view verified contact signals for Michael Pane at 84.51˚, including work email, phone, and LinkedIn data when available.
What schools did Michael Pane attend?
Michael Pane holds Masters In Statistical Practice (Msp), Statistics from Carnegie Mellon University.
What skills is Michael Pane known for?
Michael Pane is listed with skills including Statistics, R, Data Analysis, Sql, Latex, Sas, Data Mining, and Statistical Modeling.
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