open-austin / open-austin/practice-data-nerds
Umberto Fasci: Data Contributor Profile
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Description
Introduction
Data Scientist specializing in Marketing looking to bring people together rather than segment them. My interests in Open Austin lie in the simple rewards of giving, an aspect of living far too neglected in our busy lives. Through Open Austin I want to participate in fulfilling work.
What I know
- Python (scripts, jupyter)
- SQL
- General Libraries
- pandas
- numpy
- Machine Learning
- scikit-learn
- XGBoost
- LightGBM
- SciPy
- Statistical Analysis
- traditional python
- statsmodels
- Deep Learning
- Keras
- TensorFlow
- PyTorch
- Data Visualization
- Traditional (matplotlib, seaborn)
- Interactive (plotly)
- MLOps
- MLflow (model tracking)
- Optuna (hyperparameter tuning)
- AWS management
What I want to know
I would like to gain more experience deploying web applications for the purpose of answering the various questions brought forward by the Open Austin community. I would also like to gain more experience working on interdisciplinary and/or data-focused teams.
Contact info
Umberto on the Open Austin slack server
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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