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Location: Brazil
Remote: Yes, or Hybrid or Office
Willing to relocate: Yes, prefer USA or Canada
Technologies: Data Science, Machine Learning, Computer Vision (CV). Geospational data and IoT sensors (weather and environmental), satellite images, gridded data and time-series. Python and Golang, Numpy, Pandas, SciPy, Scikit-learn, PyTorch, OpenCV, Pillow, Jupyter, PyCharm, Git, Bash, Docker, GDAL, PROJ, QGIS.
Résumé/CV: https://www.linkedin.com/in/ilirium/
Email: [kalimulin.jbs] located in the [gmail.com] service
Result-oriented Data Scientist with PhD with wide experience in computer vision (CV), environmental data and gridded data (more than 4 years) and as a research fellow in CAD/EDA (7 years).* Key results: – Improved RPS x7 for an in-house big data storage (terabytes) – Create, train and tune CNN models (classification and segmentation tasks) – Statistical processing and data analytics of times series from IoT sensors and satellite images – Developed a machine learning services for data analyzing and prediction with API – Wrote data processing pipelines – Intensive usage of multidimensional features to speed up calculation in Numpy – Wide experience of remote work, __ before the lockdown __ * Strong abilities for self-education:
I retrained myself from a research fellow in the electronic design automation industry to the data scientist in IT. Digital nomad (it helps me to develop an open multicultural mind and to consider aspects of technology and life from different points): currently Florianopolis (Brazil), spend 1 season in India, 2 seasons in Europe, 3 seasons in Turkey. |