Location: UTC-3, USA, Canada, California, Toronto, Ottawa
Remote: Yes, or Hybrid/Office
Willing to relocate: Yes, prefer USA, Canada and maybe Japan or Korea
Technologies: Data Science, Machine Learning, Computer Vision (CV). Geospational data and IoT sensors (weather and environmental), satellite images, gridded data and time-series. Python, 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 has a demonstrated history of working in IT (almost 4 years) and research industries (7 years) with wide experience in development processing tools. Key results [*]. Strong abilities for self-education [*].
* Key results:
– Intensive usage of multidimensional features to speed up calculation in Numpy
– Developed a machine learning services for data analyzing and prediction with API in Python, Pandas, PyTorch, Numpy
– Create, train and tune CNN models (classification and segmentation tasks)
– Statistical processing and data analytics of times series from IoT sensors and satellite images
– Wide experience of remote work, __ before the lockdown __
– Defended a PhD degree on time (only 14% of graduate students go on time to defend in the country by official statistic)
– Presented research results on scientific conferences (more then 20)
* 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, from Russia.
* Key results:
– Intensive usage of multidimensional features to speed up calculation in Numpy
– Developed a machine learning services for data analyzing and prediction with API in Python, Pandas, PyTorch, Numpy
– Create, train and tune CNN models (classification and segmentation tasks)
– Statistical processing and data analytics of times series from IoT sensors and satellite images
– Wide experience of remote work, __ before the lockdown __
– Defended a PhD degree on time (only 14% of graduate students go on time to defend in the country by official statistic)
– Presented research results on scientific conferences (more then 20)
* 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, from Russia.