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IavTavares/README.md

💻 Machine Learning Engineer / Data Scientist

🎓 PhD in Applied Mathematics and Economics (Statistics).

  • I'm interested in the following topics:
    • Causal Inference
    • NLP
    • Econometrics
    • Time Series
    • Panel Data
    • Spatial Statistics
    • Deep Learning
    • MLOps

Feel free to connect with me:

Languages:

Python Mathematica Java C++ R

Tools

Pandas HuggingFace

TensorFlow Elasticsearch FastAPI Docker Git AWS Kubernetes

Pinned Loading

  1. UQ_State-Space UQ_State-Space Public

    Quantification of model discrepancy, aka epistemic uncertainty in the ML community, in state-space models using Gaussian processes.

    Mathematica

  2. BayesStat-ProbProg-Python BayesStat-ProbProg-Python Public

    Here, I'll gather techniques, in Python, that we can use to do Bayesian Analysis, and Probabilistic Programming.

    Jupyter Notebook

  3. CentralBanking-NLP CentralBanking-NLP Public

    In this repository, I will apply NLP techniques to central banks speeches.

    Jupyter Notebook 1

  4. Time-Series-Python Time-Series-Python Public

    Time Series in Python - A repository for notebooks/notes related to Time Series Analysis done in Python

    Jupyter Notebook

  5. Anomaly-Detection Anomaly-Detection Public

    A gathering of anomaly detection techniques in Machine Learning

    Jupyter Notebook

  6. Credit_Risk_Models Credit_Risk_Models Public

    Jupyter Notebook