Echo9573
Data Scientist
Beijing, China
Summary
🤩
RockstarData Scientist with 9 years of experience based in Beijing, combining applied ML engineering and practical data work to deliver production-ready models. Active open-source contributor on sql-machine-learning/sqlflow, where they implemented LSTM time-series tutorials, improved data preparation and model training, and added caching for faster training/validation. Comfortable bridging SQL-first workflows and deep learning, making AI accessible within data platforms. Known for pragmatic, efficiency-minded improvements that accelerate experimentation and deployment in real-world pipelines.
9 years of coding experience
Github Skills (11)
machine-learning10
lstm10
python9
deep-learning9
time-series8
data-analysis8
tensorflow7
databases6
ai6
database6
transpiler6
Programming languages (3)
Github contributions (5)
sql-machine-learning/sqlflow
Aug 2019 - Apr 2020
Brings SQL and AI together.
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 13 PRs, 28 pushes in 7 months
Contributions summary:Echo9573 primarily contributed to the project by adding and modifying code related to machine learning models. They implemented tutorials and example code for time series models utilizing LSTM networks. The user also focused on data preparation and model training within the SQLflow framework. Furthermore, they made changes to incorporate caching for training and validation processes, enhancing efficiency.
pythonsql-syntaxdeep-learningsqlmachine-learning
Echo9573/DataAnalysisbyPython
Jan 2018 - Jun 2018
Contributions:14 commits, 5 pushes, 1 branch in 4 months
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