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Hi there šŸ‘‹

šŸ”­ Iā€™m working as a Associate Director, Marketing Sciences at Horizon Media, Inc
šŸ‘Æ Iā€™m interested in applying causal inference and Machine Learning methods on topics in applied microeconomics
šŸ’¬ Ask me about data science, Economics, R, Python
šŸ“« How to reach me: [email protected]

Davut E. Ayan's Projects

awesome-r-learning-resources icon awesome-r-learning-resources

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

bookdown icon bookdown

Authoring Books and Technical Documents with R Markdown

causalml-teaching icon causalml-teaching

This repository consolidates my teaching material for "Causal Machine Learning".

codechella icon codechella

Data, Code and other material for CodeChella concert

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

courses_rdpeng icon courses_rdpeng

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

customer-lifetime-value icon customer-lifetime-value

Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases

dsinterviews icon dsinterviews

Sources for successfull Data Science interviews preparation.

ec607s21 icon ec607s21

Causal-inference oriented doctoral econometrics course at UO

econometricsslides icon econometricsslides

This is the repository for the slides used in the Seattle University Econometrics course

ethnicolor icon ethnicolor

Race and Ethnicity based on name using data from census, voter reg. files, etc.

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