isadays

🎯

Focusing

Isabela isadays

🎯

Focusing

Machine Learning Engineer at IBM | Data Scientist| Gen AI | Agentic AI | M.Sc. in Quantum Information

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Achievements

Achievements

isadays/README.md

Isabela Dias

ML Engineer · MLOps · GenAI

What I build

End-to-end ML systems
_{Training → serving → monitoring}

MLOps pipelines
_{CI/CD for models, feature stores}

LLM applications
_{RAG, fine-tuning, evals}

Quantum-classical ML
_{Hybrid algorithms, Qiskit, QuTiP}

Tech stack

ML / DL	MLOps & Infra	GenAI
Languages & Data	Quantum

About

ML Engineer with experience shipping classical models, MLOps pipelines, and LLM applications to production. I hold an M.Sc. in Quantum Information and an M.B.A. in Data Science & Analytics from the University of São Paulo.

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Unsupervised-MLUnsupervised-MLPublic
Unsupervised Machine Learning techniques (R and Python): CLUSTERING, FACTOR ANALYSIS AND CORRESPONDENCE ANALYSIS
Jupyter Notebook
DeepLearningDeepLearningPublic
Deep Learning concepts and techniques: Regularization, Epochs, Batch,Hyperparameters, Cross validation, Optimizers
Jupyter Notebook
ApacheSystemMLApacheSystemMLPublic
The purpose of this repository is to process data , prepare it, and build models to predict certain activities using ML techniques. The entire process leverages PySpark for distributed data process…
Jupyter Notebook
EmbeddingsEmbeddingsPublic
Embeddings for Flight Price Prediction. The dataset has few variables, being a true challenge to improve the model's performance. Here, we test the quality & robustness of embeddings for categorica…
Jupyter Notebook
DeepLearningSpecializationDeepLearningSpecializationPublic
Deep Learning Specialization (Intermediate level): A sequence of 5 courses from Deep Learning.AI - Neural Networks and Deep Learning, Hyperparameter Tuning, Regularization and Optimization, End-to-…
Jupyter Notebook