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Michael Stanley

Quantitative Analyst Intern

Statistician currently researching frequentist approaches to carbon flux estimation and ill-posed inverse problems

Pittsburgh, Pennsylvania

Section title

Michael Stanley's Email Addresses & Phone Numbers

Michael Stanley's Work Experience

TE Connectivity

Quantitative Analyst Intern

May 2014 to August 2014

Berwyn, Pennsylvania/New York, New York

tellic

Senior Data Scientist

May 2016 to June 2019

Greater New York City Area

Carnegie Mellon University

PhD Student

Pittsburgh, PA

Michael Stanley's Education

Carnegie Mellon University

Master’s Degree, Statistics

2015 to 2016

Baylor University

BS, Mathematics

2011 to 2015

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Michael Stanley's Estimated Salary Range

About Michael Stanley's Current Company

TE Connectivity

Using R, I built a variety of supervised learning models to classify customer behavior.

Frequently Asked Questions about Michael Stanley

What company does Michael Stanley work for?

Michael Stanley works for TE Connectivity


What is Michael Stanley's role at TE Connectivity?

Michael Stanley is Quantitative Analyst Intern


What is Michael Stanley's personal email address?

Michael Stanley's personal email address is m****[email protected]


What is Michael Stanley's business email address?

Michael Stanley's business email addresses are not available


What is Michael Stanley's Phone Number?

Michael Stanley's phone (215) ***-*736


What industry does Michael Stanley work in?

Michael Stanley works in the Research industry.


Who are Michael Stanley's colleagues?

Michael Stanley's colleagues are Sara Rosenberg, Loren Chen, Eric Tanalski, Paul Ton, Henry Crosby, and Dave Metz


About Michael Stanley

đź“– Summary

Quantitative Analyst Intern @ TE Connectivity Using R, I built a variety of supervised learning models to classify customer behavior. From May 2014 to August 2014 (4 months) Berwyn, Pennsylvania/New York, New YorkSenior Data Scientist @ tellic Worked on a team to research, design, and engineer NLP pipelines capable of biomedical information extraction from large sources of unstructured text data. These tasks included implementing custom learning algorithms in python and engineering them to run on individual virtual machines and as distributed Dataflow jobs in GCP. From May 2016 to June 2019 (3 years 2 months) Greater New York City AreaPhD Student @ Carnegie Mellon University Pittsburgh, PASummer Intern @ NASA Jet Propulsion Laboratory From June 2020 to August 2020 (3 months)


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In a nutshell

Michael Stanley's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 3 month(s)

Michael Stanley's Willingness to Change Jobs

Unlikely

Likely

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Michael Stanley's Social Media Links

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