Sp.4ML > Author

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 two dogs! I intend to share with you interesting and valuable materials about data science, data engineering, project management.

Stack and expertise

AreaToolsYears of Experience
ProgrammingPython, R, C, C++, Lua, JavaScript, Matlab>15
Backend ServicesAWS, SageMaker, Google Cloud, Vertex AI, Google BigQuery, Private Machines (VPS), Kubeflow~10
Geospatial analyticsPython, R, QGIS, Network Analysis, Kriging~9
Machine Learning & StatisticsGLMs, ML, Deep Learning, Time Series, Spatial, Sequences~9
E-commerceGoogle Analytics, Python, Cloud Services~6
Open SourcePython~6
Space IndustryESA, POLSA, Earth Observation (downstream apps)~6

Open Source


  • Code:me – 01.2024: Corporate workshops: Data Science and BIM (4h) (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Code:Me – 11.2023: Data Science workshops: focus on data (12h) (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Bravelab – 04.2023: Data Science and Machine Learning from a software development perspective (1h). (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Code:Me – 02.2023: Introduction to Data Science with Python (12h). (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Code:Me – 07.2022: Introduction to Data Science with Python (12h). (๐Ÿ‡ต๐Ÿ‡ฑ).
  • GeoPython 2022 – 06.2022: The Deconvolution of the Aggregated Data into the Fine-Scale Blocks with Pyinterpolate (1.5h). Switzerland & Online. (๐Ÿ‡บ๐Ÿ‡ธ).
  • PyGDA – 03.2022: Python & Hydra: manage your environment settings (1h). (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Code:Me – 09.2021: Introduction to the Time-Series Analysis in Python and statsmodels (3h). (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Code:Me – 04.2021: Spatial Data Processing and Analysis in Python – level Intermediate. Rasters, networks and vectors (40h). (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Code:Me – 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. (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Code:Me – 07.2019: Python workshops for beginners. Materials available here. (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Blue Dot Solutions – 08.2016: Introduction to image processing in Scilab. One-day long workshops for startups accelerated during Space3AC event. (๐Ÿ‡บ๐Ÿ‡ธ).
  • ARDiS – 06.2014: Introduction to image processing in Scilab. Workshops for participants of the Second Space Engineering Meetings in the Opole city. (๐Ÿ‡ต๐Ÿ‡ฑ).
  • ARDiS – 04-05.2014: Practical electronics course. Course for high school students. (๐Ÿ‡ต๐Ÿ‡ฑ).
  • ARDiS – 03-06.2013: Introduction to electronics. Course for high school students. (๐Ÿ‡ต๐Ÿ‡ฑ).


  • 04.2024: Data Science webinar: live coding with pandas and numpy. CodeMe (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 03.2024: Data Science webinar: live coding with pandas and numpy. CodeMe (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 12.2023: How and why should you send your custom ML model into the production environment? Three examples with a personal VPS, Google Functions, or AWS Lambda services. Data Science Tech (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 10.2023: How is it to be a data scientist? FlyNerd Coding Gang (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 07.2023: We can get more from spatial, GIS and public domain datasets! EuroPython 2023. (Prague, Czechia, ๐Ÿ‡บ๐Ÿ‡ธ)
  • 05.2023: PyOpenSci: The organization that helps you develop and maintain Open Source / Open Science Python package (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 12.2022: Augmentation of public datasets with Python and Geostatistics (online, in ๐Ÿ‡ต๐Ÿ‡ฑ). PyTech Summit 2022
  • 09.2022: Data Visualization with Python and JavaScript (online, in ๐Ÿ‡ต๐Ÿ‡ฑ). Tydzieล„ Programisty 2022.
  • 06.2022: Storytelling with data (online, in ๐Ÿ‡ต๐Ÿ‡ฑ). Hack4Change 2022.
  • 03.2022: Don’t judge too quickly, the autism spectrum in spatial epidemiology (online, in ๐Ÿ‡ต๐Ÿ‡ฑ). Define Normalnoล›ฤ‡ 2022: Konferencja o Neurorรณลผnorodnoล›ci.
  • 12.2021: Simple model == simple implementation. Do not expect it in TensorFlow (online, in ๐Ÿ‡ต๐Ÿ‡ฑ). PyTech Summit 2021
  • 10.2021: How to publish the package on PyPI. HackerSpace Tricity Hacktoberfest 2021 (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 10.2021: Pyinterpolate: spatial interpolation with Python. HackerSpace Tricity Hacktoberfest 2021 (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 08.2021: Health Geography is not a fad. Hackerspace Tricity AMA #S02E010 (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 06.2021: Interpolation of air pollution in Poland with Python. Summer Data Society Conf (online, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 04.2021: Open Science / Open Software packages in Python. The Good Practices of Development. PyGDA #65. (online, in ๐Ÿ‡ต๐Ÿ‡ฑ)
  • 04.2021: Pyinterpolate – Python package for spatial interpolation and deconvolution of areal data. GeoPython 2021. (online, in ๐Ÿ‡บ๐Ÿ‡ธ).
  • 03.2021: Personal Time Management in Notion. Hack Yourself! #1 (PL: Zhackuj siebie! #1), (online, in ๐Ÿ‡ต๐Ÿ‡ฑ)
  • 01.2021: GeoPandas – Python package for spatial data engineering. PyGDA #62, (online, in ๐Ÿ‡ต๐Ÿ‡ฑ)
  • 12.2020: GeoPandas – Python package for spatial data engineering. PyCode 2020, (online, in ๐Ÿ‡บ๐Ÿ‡ธ).
  • 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, in ๐Ÿ‡ต๐Ÿ‡ฑ)
  • 10.2018: Machine learning and satellite images: use cases. KarieraIT. (Wroclaw, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ). Github.
  • 03.2018: An automation of EO data processing in Python. KarieraIT. (Gdansk, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ). Github.
  • 01.2018: Pythonic way to process Earth Observation datasetsPyGDA #32. (Gdansk, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 03.2017: Python and OpenCV: Digital Fourier Transform Use CasesPyGDA #23. (Gdansk, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 04.2016: Image Filtering in Python and OpenCVPyGDA #13. (Sopot, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 06.2014:ย Space Medicine: The Engineerโ€™s Point of View. (Opole, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 06.2013: Spacecraftโ€™s Electromagnetic CompatibilityThe First Space Engineering Meetings in Opole city. (Opole, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ).
  • 05-06.2012: The road to the stars. Lectures about astroengineering, astrophysics, and planetary science for the public. (Opole, Poland, in ๐Ÿ‡ต๐Ÿ‡ฑ).

Scientific conferences and posters

  • 11.2021: S. Moliล„ski. The Session-Based kNN implementation in TensorFlow. ML in PL 2021. Poster (๐Ÿ‡บ๐Ÿ‡ธ)
  • 10.2021: S. Moliล„ski. Lyme Disease Risk Assessment Based on the Earth Observation Data and Spatial Processing Technique. ESA ฮฆ-week 2021. Worldwide. Poster & presentation (๐Ÿ‡บ๐Ÿ‡ธ).
  • 03.2019: S. Moliล„ski, et.all, System Architecture for Species Distribution Modeling based on the Remote Sensing and GIS data, VII Forum BioGIS, Poznan, Poland (๐Ÿ‡ต๐Ÿ‡ฑ).


  • S. Moliล„ski. WSKNN – Weighted Session-based K-NN recommender system. Journal of Open Source Software. October 2023. (๐Ÿ‡บ๐Ÿ‡ธ).
  • S. Moliล„ski. Pyinterpolate: Spatial Interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software. February 2022. (๐Ÿ‡บ๐Ÿ‡ธ).
  • S. Moliล„ski, OCR algorithms and the external databases in the case of NAO robot communicationSilesian Electrical Journal, May 2016. (๐Ÿ‡ต๐Ÿ‡ฑ).

Public 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. (๐Ÿ‡ต๐Ÿ‡ฑ).


Professional magazines

  • Who is needed in Data ScienceProgramista, August 2020. (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Time Series Analysis in Python with Earth Observation DataProgramista, October 2019. (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Earth Observation Data Processing in PythonProgramista, May 2018. (๐Ÿ‡ต๐Ÿ‡ฑ).
  • Data Science and Earth Observation: data preparationProgramista, December 2018. (๐Ÿ‡ต๐Ÿ‡ฑ).


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