Tobias Schmidt
Staff Economist Data Scientist
London, England, United Kingdom
Summary
👤
SeniorTobias Schmidt is a Staff Economist and Data Scientist based in London with 15 years of experience bridging academic behavioral and experimental economics with production-scale data engineering. At Deliveroo he applies causal thinking to messy, terabyte-scale datasets, shipping robust analytics and data-validation improvements that keep models honest in production. A pragmatic coder and open-source contributor, he has optimized and vectorized expectations in the widely used great_expectations project and improved backend stability across research tooling like psiTurk and LaTeX citation plugins. Comfortable moving between research design and engineering trade-offs, he combines rigorous experimental instincts with hands-on performance tuning and thoughtful error handling.
15 years of coding experience
German, English, French, Spanish, Dutch
Stackoverflow
9,901reputation
969kreached
76answers
120questions
r
top-5%
greatest-n-per-group
top-5%
dplyr
top-5%
Github Skills (34)
data-quality10
python10
data-engineering10
sublime-text10
pandas10
flask-ask10
regular-expression10
sublime-text-plugin10
flask10
r9
greatest-n-per-group9
exception-handling9
dplyr9
data-profiling9
documentation8
Programming languages (15)
Github contributions (5)
great-expectations/great_expectations
Apr 2019 - Aug 2019
Always know what to expect from your data.
Role in this project:
Back-end Developer / Data Engineer
Back-end Developer / Data EngineerContributions:25 commits, 8 PRs, 23 comments in 3 months
Contributions summary:Tobias primarily focused on enhancing the `great_expectations` codebase, concentrating on improving data validation and expectation functionality. Their work involved vectorizing and optimizing existing pandas-based expectations, resulting in improved performance. They introduced new features for set-based expectations and also made minor fixes, including bug fixes and typo corrections. Furthermore, the user contributed to generalizing date parsing within the codebase.
pythondatadata-integritydatacleanerpipeline-testing
NYUCCL/psiTurk
Feb 2015 - Apr 2015
An open platform for science on Amazon Mechanical Turk.
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 5 PRs, 7 comments in 1 month
Contributions summary:Tobias primarily focused on improving the stability and maintainability of the backend code for the `psiturk` project. They fixed typos in documentation, removed superfluous code, and implemented better exception handling within the `custom.py` file. Furthermore, they addressed a critical configuration issue by correctly setting the cache control max age in seconds. The user also refined error messages to provide more informative feedback to users.
pythonmechanical-turksciencedata-sciencedeep-learning
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