Dimitrios Soudis

Expert In Quantitative Research And Data Analysis

Thessaloniki, Macedonia and Thrace, Greece
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Summary

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Senior
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Top School
Dimitrios Soudis is an expert in quantitative research and data analysis with nine years of experience applying statistics and machine learning to healthcare, economics, and industrial problems. He has led cross-functional teams and RWE statistical strategies at Pfizer, delivered generative AI products to executive leadership, and now advises organizations at Cedefop on turning business and research goals into testable hypotheses and actionable data products. His background combines a PhD in Economics with hands-on data science roles at the University of Groningen, where projects ranged from chemical process optimization to ICU risk prediction and automated video analysis. Comfortable coding in R and Python, he publishes code on GitHub and writes a technical blog, signaling a commitment to reproducibility and clear communication for diverse audiences. Less obvious is his track record of translating academic research into operational solutions—supervising students and teaching while shipping production-ready analyses for industry stakeholders.
code9 years of coding experience
job11 years of employment as a software developer
bookBSc, Economics, BSc, Economics at Aristotle University of Thessaloniki (AUTH)
bookPhD, Economics, PhD, Economics at University of Groningen
bookMSc, Economics, MSc, Economics at University of Gothenburg
languagesEnglish, Greek
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Github Skills (36)

autoencoder9
python9
machine-learning9
statistics9
tabular9
dirty-data9
data-analysis8
categorical8
data-preprocessing8
data-cleaning8
feature-engineering8
data-wrangling8
data-science8
scikit-learn7
scikit7

Programming languages (1)

Python

Github contributions (5)

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DSoudis/shiftshare

May 2017 - Aug 2018

Contributions:17 commits, 12 pushes, 1 branch in 1 year 3 months
DSoudis/MyUtils

Jun 2018 - Jun 2019

Contributions:2 pushes, 1 branch, 1 comment in 11 months
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Dimitrios Soudis - Expert In Quantitative Research And Data Analysis