Sebastian Krieger, Sc.D.

São Paulo, Brazil

I am a data scientist at Bloomberg. I am responsible for implementing, managing and curating end-to-end data workflows, which include the setup and monitoring of ETL pipelines, and pre- and post-publish quality control. I develop and implement machine learning models to expand our data coverage (e.g. financial conditions indicators, agricultural crop yield forecast) and to detect anomalies in our data-sets. In addition, I mentor colleagues in applying computer programming best practices and support journalists with data-driven news.

I am an analytical, dedicated and detail-oriented problem-solver with strong and diverse academic background in data analysis, physics and geophysical fluid dynamics.

I am comfortable with a variety of technologies, a lifelong learner and have experience with international collaboration.

I hold a Sc.D./Ph.D. in oceanography and a master's degree in physical oceanography from the Oceanographic Institute of the University of São Paulo, and a bachelor's degree in physics from the Physics Institute of the University of São Paulo.

A. RESUME

Core competencies

Applied work experience in data analyis and developing machine learning models.
Tech lead in projects implementing end-to-end ETL pipelines including data acquisition, transformation, modelling, quality control, and database development.
Self-taught computer programmer: Python developer since version 2.5.
Familiar with agile practices like Scrum and test-driven development (TDD).
Comfortable working collaboratively in cross-cultural and multi-disciplinary teams remotely as well as in the office.
Doctor of science in oceanography with emphasis in geophysical fluid dynamics and satellite remote sensing — here is a copy of my doctoral dissertation (in Portuguese).
Excellent verbal and written communication skills both in English and Portuguese; conversational fluency in French, German and Spanish.

Selected work & research experience

2018–present	Bloomberg LP São Paulo, SP, Brazil Data scientist Responsible for managing end-to-end data workflows, including pre- and post-publishing quality control • Implementing and monitoring ETL pipelines that handle millions of records per day. Machine learning model development, e.g. financial conditions indicator for Brazil, agriculture crop yields forecast, anomaly detection. Co-organized a hackathon event for clients and university students. Mentor colleagues in applying computer programming best practices. Support journalists with data-driven news. Continuous research for expandig data products.
2016–present	nublia São Paulo, SP, Brazil Solopreneur (concurrent with other activities) Digital transformation, data science and machine learning consultancy and training. Design and implementation of ETL pipelines. Data science, data analytics and business intelligence training for cohorts of 20+ students.
2002–2021	Formula 1 São Paulo Grand Prix São Paulo, SP, Brazil Race secretary, contractor (concurrent with other activities) Deputy race secretary, contractor (concurrent with other activities) Liaised information flux among FIA officials and local organizers. Assisted the Clerk of the Course and his deputies. Facilities and ceremonial set-up. Published and distributed sporting information. Translated documents.
2016	Rio 2016 Organising Committee for the Olympic and Paralympic Games Rio de Janeiro, RJ, Brazil Sport Information Coordinator -- Canoe sprint/para-canoe Supervised 10+ volunteers. Published and distributed sporting information. Assisted athletes, team members, umpires and international federation officials. Reviewed team leaders' and games officials' guides. Set up competition installations (field of play).
2014–2016	Centro de Biologia Marinha, Universidade de São Paulo São Sebastião, SP, Brazil Postdoctoral research fellow Research on hydrodynamics and hydrography of the São Sebastião Channel. Mined and analysed georeferenced data. Implemented MySQL/MariaDB database for georeferenced data storage and management. Performed in situ field measurements. Implemented a coastal hydrodynamic model. Taught lectures on time-series analysis, high-performance liquid chromatography and ecological numerical modeling. Organized scientific talks. Mentored undergraduate and graduate students. CAPES fellow.
2009–2014	Instituto Oceanográfico, Universidade de São Paulo São Paulo, SP, Brazil Sc.D. graduate student Research on dynamics and observation of planetary waves and meso-scale eddies in the global oceans. Mined and analysed satellite remote sensing images. Developed signal de-noising filter using discrete wavelet transforms. Developed geometric feature detector for meso-scale eddies. Taught short courses on Python. Co-organized scientific symposium. Undergraduate teaching assistant. Undergraduate student thesis co-advisor. CAPES and CNPq fellow.
2008–2009	Bermuda Institute of Ocean Sciences Saint George, Bermuda Trainee/research scholar Independent research on influence of planetary waves on chlorophyll concentration using satellite images. Gave a series of short talks. Fellow of the Nippon Foundation/Partnership for Observation of the Global Oceans.

Education

2009–2014	Sc.D. Oceanography, Instituto Oceanográfico, Universidade de São Paulo
2008–2009	Pg.C. Ocean Observatories, Bermuda Institute of Ocean Sciences
2006–2008	M.Sc. Physical Oceanography, Instituto Oceanográfico, Universidade de São Paulo
2000–2004	B.Sc. Physics, Instituto de Física, Universidade de São Paulo
1998–1999	Industrial Business Management vocational training, Colégio Humboldt, Instituto de Formação Profissional Administrativa

Selected short courses & online training

Scrum Foundations. Scrum Alliance. Jun. 2023. Credential ID 001540195.
AI Product Manager. Udacity. Nov. 2021. Credential ID PLDDTJKK.
Venture Deals. Kauffman Fellows & TechStars. Apr. 2021. Credential ID 10581-489738.
Minischool on Dynamical Systems in Biology. International Centre for Theoretical Physics, South American Institute for Fundamental Research, Brazil. May 2014.

Skills and interests

Data analysis: Data mining, dynamical systems, K-nearest neighbors, multivariate linear and logistic regressions, artificial neural networks, principal component analysis, data visualization, wavelet and Fourier spectral analysis, web scraping.
Computer programming: Python, MATLAB/Octave, SQL, Visual Basic, PHP, HTML, CSS, FORTRAN, JavaScript.
Databases: PostgreSQL, MySQL/MariaDB, SQLite.
Operating systems: Linux, Microsoft Windows.
Hobbies: Woodwork, sourdough bakery.

Languages

Portuguese (native)
English (fluent)
German (fluent)
French (independent)
Spanish (independent)

Committees & appointments

Reviewer for International Journal of Remote Sensing (2013–2018).
Reviewer for Remote Sensing Letters (2018).
Member of one master thesis examination committee, and two undergraduate thesis examination committees.
Rowing umpire for Brazilian Rowing Confederation (CBR) and South American Rowing Confederation (CSAR).

B. MORE PROFESSIONAL INFORMATION

Author of the pycwt Python package for continuous wavelet spectral analysis. The Github repository has 174 stars and 80 forks (as of February 22, 2022).
Lead developer for the Brazilian financial conditions index published on the Bloomberg Terminal as BZFCIBBC Index.
I gave a presentation about recipes for geodata management in oceanography, during a workshop hosted by the NF-POGO Alumni Network for Oceans. I have shared other presentations on my slideshare page, however most of them are in Portuguese.
I also usually attend PyData Meetups. This is the recording of one of the presentations I gave (in Portuguese) on how to extract financial data from unstructured documents using crowd workers and integrate them into a data automation workflow.
Here are copies of my doctoral dissertation and master thesis, both in Portuguese.
I was the editor and co-author of some articles for the 8th newsletter of the NF–POGO Alumni Network for the Oceans, May 2015.
I have been a volunteer English teacher since January 2019 at Cidadão Pró-Mundo, a NGO that offers educational access to young citizens and adults in low-income communities in Brazil.
Researcher profiles and social networks
- LinkedIn: https://www.linkedin.com/in/regeirknaitsabes/
- GitHub: https://github.com/regeirk
- ORCID: 0000-0001-9661-6341
- Web of Science Researcher ID: B-7704-2011
- Google Scholar: https://scholar.google.com.br/citations?user=tIHTW_AAAAAJ

C. UNIQUE VALUE ADDED / DIFFERENTIATOR

My interest in physics and oceanography taught me how to think about processes and to break large complex systems into smaller and usually simpler connected pieces.
I am cautious and like matters to be factual and clear.
I am just as concerned with the processes as with the outcomes; I am keenly interested in how and why things work.
I am precise, cautious, disciplined, painstaking and conscientious in my work, yet prepared to try new approaches.
My common-sense denotes a practical ability with people and things and offer a stabilising presence in any organisation.
I am a self-taught computer programmer and Python is currently my preferred programming language because of its general purpose, elegant and simple syntax.
I prefer to tackle new challenges by first putting some effort in better understanding the problems and the underlying processes.
I apply first principles and use Agile methodologies, like Scrum, to incrementally deliver working solutions.
I like to mentor and teach colleagues in technical matters, while continuously broadening my knowledge and experience in different, sometimes complimentary, areas.