Sebastian Krieger
Data Scientist
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolSebastian Krieger is a data scientist with 14 years of experience who blends academic rigor—holding a Ph.D. in physical oceanography—with applied machine learning and computer vision at Bloomberg LP. He founded nublia to deliver digital transformation, build ETL pipelines, and train cohorts in data science, demonstrating both product-oriented delivery and people development. His background in oceanography and numerical modeling informs a strong specialization in time-series analysis, geospatial data management, and custom signal-processing filters that often bridge research and production. A seasoned event and operations coordinator (including roles at the Rio 2016 Olympics and F1 São Paulo), he brings exceptional cross-functional communication and logistics skills to technical projects. Based in São Paulo, he speaks publicly about data and AI and combines deep scientific methods with pragmatic automation to turn complex datasets into actionable intelligence.
14 years of coding experience
Ocean observatories specialist, Oceanography, Ocean observatories specialist, Oceanography at Bermuda Institute of Ocean SciencesB.Sc., Physics, B.Sc., Physics at USP - Universidade de São PauloHigh school, Language Interpretation and Translation, High school, Language Interpretation and Translation at Escola Suíço-Brasileira de São PauloBusiness management, Business management at Instituto de Formação Profissional Administrativa / Colégio HumboldtUniversity of São Paulo
Portuguese, German, English, French, Spanish
Stackoverflow
948reputation
51kreached
6answers
4questions
Github Skills (32)
python10
data-science10
routines10
signal-processing10
wavelet10
spectral10
fft10
transform10
numba10
wavelet-transform10
scipy9
opendap7
data-visualization6
dwt6
data-access6
Programming languages (1)
Github contributions (5)
regeirk/klib
Feb 2012 - Feb 2017
Contributions:14 commits, 4 pushes in 5 years
regeirk/pycwt
Mar 2012 - Oct 2020
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.
Contributions:2 releases, 2 reviews, 58 commits in 8 years 8 months
waveletcoherencepythonwavelet-transformtransform
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