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My projects
Hands-on projects and practical solutions I developed to apply my skills in AI and data science.
Category:
Technology:
ml_classifier.py
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AILocal Production
Predictive Modeling & ML Classification
Complete machine learning pipeline using Scikit-Learn and XGBoost for feature processing, training, and model evaluation.
PythonScikit-LearnXGBoostNumPyPandas
data_pipeline.py
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Data ScienceActive Maintenance
Exploratory Data Analysis & Advanced SQL
Heterogeneous data cleaning, relational modeling, and statistical report generation connecting Python to BigQuery and SQL.
PythonPandasSQLBigQueryMatplotlibSeaborn
cnn_trainer.py
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AIIn Development
Neural Networks & Computer Vision
Training a Convolutional Neural Network (CNN) in PyTorch for image classification and feature extraction.
PythonPyTorchOpenCVNumPyTensorBoard
gcp_pipeline.py
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CloudCloud Production
Serverless Deployment on GCP Cloud Run
Automated deployment of data analysis and processing services in the cloud using Google Cloud Platform tools.
PythonGCPBigQueryDockerCloud Run
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Cristian Zamitiz
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