Dennis Hammerschmidt

Data Scientist Consultant Analytics

Mannheim, Baden-Württemberg, Germany
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Summary

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Senior
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Dennis Hammerschmidt is a data scientist and consultant with nine years of experience applying computational social science to real-world business problems, currently driving analytics use cases for Lidl International using Python, Spark, SQL and git. Trained as a political scientist and PhD candidate at the University of Mannheim, he blends rigorous academic methods—text, image/video and numerical analysis—with production-focused engineering to improve decision-making across global stores. He has a track record of teaching, grant work and conference presentations, plus pro bono data-product delivery (interactive Shiny apps) for non-profits. Outside work he helps support young scholars as a board member of RAM e.V. and pursues an almost-researcher’s quest for the best local coffee and cozy bars while traveling.
code9 years of coding experience
job10 years of employment as a software developer
bookJohns Hopkins University
bookMaster of Arts (M.A.), Political Science, 1.3 (with distinction), Master of Arts (M.A.), Political Science, 1.3 (with distinction) at Universität Mannheim
bookVisiting Scholar, Visiting Scholar at University of Houston
bookBachelor of Arts (B.A.), Political Science, 1.6, Bachelor of Arts (B.A.), Political Science, 1.6 at University of Mannheim
bookInternational Economics and Security Studies, International Economics and Security Studies at The Johns Hopkins University - Paul H. Nitze School of Advanced International Studies (SAIS)
languagesGerman, English, French, Spanish
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Github Skills (18)

package-development9
csv6
grammar6
bank6
immigration6
r6
dplyr5
manipulation5
python5
r-package5
parser5
data-transformation3
data-analysis3
polars3
data-manipulation3

Programming languages (4)

RCSSHTMLJupyter Notebook

Github contributions (5)

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Contributions:15 commits, 13 pushes, 1 branch in 4 months
Contributions:134 pushes, 1 branch in 3 months
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Dennis Hammerschmidt - Data Scientist Consultant Analytics