Guilherme Gomes
data scientist at bayer | phd statistics@ Bayer
St Louis, Missouri, United States
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Guilherme Gomes is a PhD graduate in Statistics from Purdue University with 14.5 years of work experience. She is based in the United States and has a strong background in statistical network analysis and is advised by Jennifer Neville. Guilherme's research focuses on highly complex statistical inference models such as Bayesian statistics and deep learning. She has worked as a Data Scientist at Bayer in Germany and as a Research Assistant at Cook Medical in the United States. Guilherme also has experience as a Consultant and Sas Instructor at SAS in the United States.
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Emails and Phone Numbers

@bayer.es
@bayer.de
@bayer.com
+1 866992****
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About

I am PhD graduate in Statistics at Purdue University with research, industry and teaching experience. My currently research focus is on statistical network analysis, where I am advised by Jennifer Neville. Broadly, my interests are in the field of highly complex statistical inference models, such as bayesian statistics and deep learning.

Work Experience

Kaiser-Wilhelm-Allee, Leverkusen, North Rhine-Westphalia, 51373, DE

Chemical Manufacturing

93488
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Guilherme Gomes's Professional Milestones

  • Data Scientist (2020-05-01~): Conducted thorough data analysis to gather data and provide valuable insights for informed decision-making.
  • Teaching Assistant (2014-01-01~2015-12-01): Provided exceptional support to students, fostering a supportive and engaging learning environment.
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Education

Purdue University
Purdue University

Statistics

2016-2018
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