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Hi there! I’m Simon and I’m a data scientist and remote sensing / GIS / spatial statistics specialist. I have experience in management and R&D proposal preparation. At the same time I’m a bboy, acrobat and proud owner of a dog and a small family of bunnies! I intend to share with you interesting and valuable materials from data science, data engineering, project management and lifestyle fields.

I participate in conferences, workshops and engineering talks and I’m writing to professional magazines. Here is a list of my activities:

Open Source

  • pyinterpolate: Spatial Statistics package in Python (full release)
  • sdm-python: Species Distribution modeling in Python (actually frozen, but it’ll be developed)

Workshops

  • 09.2021: Introduction to the Time-Series Analysis in Python and statsmodels (3h).
  • 04.2021: Spatial Data Processing and Analysis in Python – level Intermediate. Rasters, networks and vectors (40h).
  • 02.2021: Python and Data Science workshops (16 h). Basics of Python and Data Science projects: distance between words in database, classification models for fraud detection, good practices of ML pipelines development.
  • 07.2019: Python workshops for beginners. Materials available here.
  • 08.2016: Introduction to image processing in Scilab. One-day long workshops for startups accelerated during Space3AC event.
  • 06.2014: Introduction to image processing in Scilab. Workshops for participants of the Second Space Engineering Meetings in the Opole city.
  • 04-05.2014: Practical electronics course. Course for high school students.
  • 03-06.2013: Introduction to electronics. Course for high school students.

Talks

  • (Upcoming) 12.2021: Prosty model == prosta implementacja. Nie w TensorFlow (in Polish) https://pytechsummit.pl/
  • 10.2021: How to publish package on PyPI. HackerSpace Tricity Hacktoberfest 2021 (Poland).
  • 10.2021: Pyinterpolate: spatial interpolation with Python. HackerSpace Tricity Hacktoberfest 2021 (Poland).
  • 08.2021: The Health Geography is not a fad. Hackerspace Tricity AMA #S02E010 (Poland).
  • 06.2021: Interpolation of air pollution in Poland with Python. Summer Data Society Conf (Poland).
  • 04.2021: Open Science / Open Software packages in Python. The Good Practices of development. PyGDA #65. Poland.
  • 04.2021: Pyinterpolate – Python package for spatial interpolation and deconvolution of areal data. GeoPython 2021. Worldwide.
  • 03.2021: Personal Time Management in Notion. Hack Yourself! #1 (PL: Zhackuj siebie! #1). Poland.
  • 01.2021: GeoPandas – Python package for spatial data engineering. PyGDA #62. Poland.
  • 12.2020: GeoPandas – Python package for spatial data engineering. PyCode 2020. Worldwide.
  • 09.2019: How to get a job as a data scientist or data engineer. AI and ML state of the art. Polish AI startup scene. Software Developers Week 2019. Poznan, Poland.
  • 10.2018: Machine learning and satellite images: use cases. KarieraIT. Wroclaw, Poland. Github.
  • 03.2018: An automation of EO data processing in Python. KarieraIT. Gdansk, Poland. Github.
  • 01.2018: Pythonic way to process Earth Observation datasetsPyGDA #32. Gdansk, Poland.
  • 03.2017: Python and OpenCV: Digital Fourier Transform Use CasesPyGDA #23. Gdansk, Poland.
  • 04.2016: Image Filtering in Python and OpenCVPyGDA #13. Sopot, Poland.
  • 06.2014: Space Medicine: The Engineer’s Point of View. The Second Space Engineering Meetings in the Opole city. Opole, Poland.
  • 06.2013: Spacecraft’s Electromagnetic CompatibilityThe First Space Engineering Meetings in Opole city. Opole, Poland.
  • 05-06.2012: The road to the stars. Lectures about astroengineering, astrophysics and planetary science for public. Opole, Poland.

Scientific conferences and posters

  • (Upcoming) 11.2021: S. Moliński. The Session-Based kNN implementation in TensorFlow. ML in PL 2021. Poster.
  • 10.2021: S. Moliński. Lyme Disease Risk Assessment Based on the Earth Observation Data and Spatial Processing Technique. ESA Φ-week 2021. Worldwide. Poster.
  • 03.2019: S. Moliński, et.all, System Architecture for Species Distribution Modeling based on the Remote Sensing and GIS data, VII Forum BioGIS, Poznan, Poland

Papers

  • (Under review) S. Moliński. Pyinterpolate: Spatial Interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software.
  • S. Moliński, OCR algorithms and the external databases in the case of NAO robot communicationSilesian Electrical Journal, May 2016

Reports

  • The nearest future and the roadmap of the space medicine research and development projects. Chances of Poland to engage in the space medicine projects (Report for the Polish Space Agency), March 2017.

Professional magazines

  • (Upcoming) End-to-end Air Pollution Mapping Service with Python and JavaScript. (2021/2022).
  • Who is needed in the Data ScienceProgramista, August 2020.
  • Time Series Analysis in Python with Earth Observation DataProgramista, October 2019.
  • Earth Observation Data Processing in PythonProgramista, May 2018.
  • Data Science and Earth Observation: data preparationProgramista, December 2018.

Other

  • 06.2014: Main organizer of the Second Space Engineering Meetings in the Opole city.
  • 06.2013: Playing with the robots. Robotics lesson for kids from elementary school.
  • 06.2013: Main organizer of the First Space Engineering Meetings in the Opole city.
  • 10.2012: Main organizer of the space engineering workshops for students from the Opole University of Technology, (2-day event).
  • 03.2012: Playing with the gravity. Lesson for kids from elementary school about the gravity. Physic laws were described by physical activities and games.
  • Multiple talks during science popularization events. Topics mostly connected to the space engineering and planetary science.

Contact: simon@ml-gis-service.com