Jorijn Smit
Data Scientist
Groningen, Netherlands
Summary
🤩
RockstarJorijn Smit is a data scientist based in Groningen, Netherlands, with 13 years of experience applying analytical rigor to web3, business intelligence, and data science problems. They contribute to high-profile open-source projects—maintaining ERC20 token tables and fixing price-calculation logic for Dune Analytics’ Spellbook—bringing production-grade SQL and DB administration skills to DeFi data pipelines. Their work on Numerai example scripts shows hands-on experience turning financial data (like dividends) into quantitative signals and integrating model submission workflows. Comfortable across both analytics engineering and modeling, Jorijn blends careful data curation with signal engineering to ensure reproducible, accurate outputs. Peers can expect a practitioner who pairs domain knowledge in decentralized finance with pragmatic tooling experience to bridge BI and data science.
13 years of coding experience
English, German
Stackoverflow
5,552reputation
3.0mreached
183answers
13questions
neural-network
top-5%
dataframe
top-5%
keras
top-5%
deep-learning
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python
top-5%
pandas
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Github Skills (22)
python10
pandas10
machine-learning10
sql10
database-design10
data-analysis10
dataframe9
dune-analytics9
f9
neural-network9
deep-learning9
keras9
jupyter-notebook9
erc209
api8
Programming languages (22)
Github contributions (5)
duneanalytics/spellbook
May 2021 - Dec 2021
SQL views for Dune
Role in this project:
Database Engineer / Database Administrator
Database Engineer / Database AdministratorContributions:1 review, 6 commits, 10 PRs in 6 months
Contributions summary:Jorijn primarily contributes to updating the `erc20.tokens` SQL table, a crucial component of the Dune Analytics' spellbook for ERC20 token tracking. They add new token entries, including curve & sushi LP tokens, and DeFiDollar. Additionally, the user fixes issues related to token price calculations within the `dex.view_token_prices` view, ensuring accurate price data. Their work involves modifying SQL queries and improving data accuracy for various ERC20 tokens used in the DeFi ecosystem.
sqldatabasemysqldune
numerai/example-scripts
Apr 2021 - Apr 2021
A collection of scripts and notebooks to help you get started quickly.
Role in this project:Data Scientist
Data ScientistContributions:2 reviews, 8 commits, 4 PRs in 11 days
Contributions summary:Jorijn primarily contributed to the `signals/iexcloud/dividends.py` and `signals/iexcloud/dividends.ipynb` files, indicating work related to processing and generating financial signals, likely for a quantitative trading model. Their commits involved modifying code to retrieve and process dividend data, incorporating it into the signal generation pipeline. The user's work also includes adjustments to the model's data handling, including the integration of the numerapi API for predictions submission.
pythonsciencenumeraidata-sciencemachine-learning
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