Mathematician (Ph.D. Humboldt Universität zu Berlin) and data scientist (PyMC Labs & Delivery Hero). I am interested in interdisciplinary applications of mathematical methods. In particular, time series analysis, Bayesian methods, and causal inference.
Probability and Statistics • Geometric Methods • Bayesian Analysis • Machine Learning • Causal Inference • Deep Learning • Time Series Analysis • Forecasting • Network Analysis • Visualization • Clean Code • Open Source Software • Knowledge Sharing
Selected projects I have contributed to:
- PyMC Marketing: https://github.com/pymc-labs/pymc-marketing
- PyMC: https://github.com/pymc-devs/pymc
- PyMC-Bart: https://github.com/pymc-devs/pymc-bart
- NumPyro: https://github.com/pyro-ppl/numpyro
- PyFixest: https://github.com/py-econometrics/pyfixest
- CausalPy: https://github.com/pymc-labs/CausalPy
Personal Website: juanitorduz.github.io
