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  • Brazilian Navy Hydrographic Center
  • Niteroi-RJ, Brazil

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soutobias/README.md

Hi, my name is Tobias!

I am an Data Scientist, Full-stack WebDev and Oceanographer, with eleven years of experience as a Navy Officer.

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🚀 My Skills

python sklearn tensorflow ruby on rails Javascript Nodejs HTML5 CSS Bootstrap MySQL PostegreSQL matlab


⭐ My GitHub Stats

🔭 Main projects

www.oceano.live. This open source app is a combination of three packages:

  • oceanoobsbrasil: PYTHON. A pip python package for retrieving weather and ocean data for the Brazilian Coast. These data came from more than 1100 sources, like buoys, tide gauges, weather stations, satelites and ships. The data are merged in a single postgre DB. Use of BS4, selenium, xarray, requests, packegenlite, pandas, sqlalchemy. Codes are running in a AWS EC2 using Apache Airflow;
  • oceanoobsbrasil_web: Ruby on Rails, HTML, CSS, JS. A app to visualize all the data. Use of lealflet, mapbox, ajax, plotly, devise, heroku, cloudinary, s3 bucket; and
  • remobs_api: Ruby on Rails. API created to connect to postgre DB and the web app.

www.dharmaproject.one. Deep learning NLP techniques and pre-trained sentiment analysis models applied in hundreds of thousands OF newspaper articles. This app is a combination of three packages:

  • dharma_analysis: PYTHON. A pip package to get, preprocess and process newspaper articles. Use of API, NLP preprocessing techniques (stopwords, punctiation, lemmatize, etc), sentence transforme, clustering, cosine similarity, pre-treined sentiment analysis model, BERT transformers, mathematical analysis (hilbert curve), viz (holoviews, bokeh);
  • dharmaproject: Ruby on rails, HTML, CSS, JS. App to visualize the result of the models; and
  • bucketapi: PYTHON. API created to connect to postgre DB and GCP bucket to the web app. Use of fastapi, docker, GCP, Google Cloud Run.

remobs_qc: PYTHON. Code for managing the buoys of the National Buoys Program and the REMO Observacional project. This repository presents codes for obtaining data from buoys from different manufacturers that transmit data through different satellites (IRIDIUM SBD, INMARSAT, CLS ARGOS), as well as quality control routines used in the PNBOIA and data encoding in BUFR for the GTS. This repository also collect Brazilian Navy WWIII model outputs. Together with the API (pnboia_api), we develop some web app to disclose our data:

inmetpy: PYTHON. An PIP python package to access data from the BRAZIL National Institute of Meteorology (Inmet). Try: pip install inmetpy.

pnboia_qc: PYTHON. An PIP python package to quality control time series data collected in the ocean.

equip-chm112: Ruby on Rails, HTML, CSS. Website to control the equipment of the operational oceanography division of the Brazilian Navy Hydrography Center. Web app: http://equip-pnboia.herokuapp.com/.

machine-learning-examples: This repository represents a list of notebooks for analyzing data using machine learning.

deep-learning-examples: This repository represents a list of notebooks for analyzing data using deep learning.


Pinned Loading

  1. oceanoobsbrasil_web oceanoobsbrasil_web Public

    JavaScript 4 1

  2. oceanoobsbrasil oceanoobsbrasil Public

    Jupyter Notebook 6 2

  3. remobs_api remobs_api Public

    Ruby 1

  4. Antarctic-Buoys Antarctic-Buoys Public

    Forked from VanessaBach/Antarctic-Buoys

    A website for real-time access to data from weather stations and buoys in Antarctic.

    Ruby

  5. bmosantos bmosantos Public

    Jupyter Notebook 1

  6. bucketapi bucketapi Public

    Jupyter Notebook