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
| Area | Tools | Years of Experience |
| Programming | Python, R, C, C++, Lua, JavaScript, Matlab | >15 |
| Backend Services | AWS, Google BigQuery, Private Machines (VPS) | ~10 |
| Geospatial analytics | Python, R, QGIS, Network Analysis, Kriging | ~8 |
| Machine Learning & Statistics | GLMs, ML, Deep Learning, Time Series, Spatial, Sequences | ~8 |
| E-commerce | Google Analytics, Python, Cloud Services | ~5 |
| Open Source | Python | ~5 |
| Space Industry | ESA, POLSA, Earth Observation (downstream apps) | ~5 |
Open Source
- (2022+) wsknn: Weighted Session-based k-NN recommender in Python.
- (2018+) pyinterpolate: Spatial Statistics package in Python (full release)
Workshops
- Bravelab – 04.2023: Data Science and Machine Learning from the software development perspective (1h). (๐ต๐ฑ).
- Code:Me – 02.2023: Introduction to Data Science with Python (12h). (๐ต๐ฑ).
- Code:Me – 07.2022: Introduction to Data Science with Python (12h). (๐ต๐ฑ).
- GeoPython 2022 – 06.2022: The Deconvolution of the Aggregated Data into the Fine-Scale Blocks with Pyinterpolate (1.5h). Switzerland & Online. (๐บ๐ธ).
- PyGDA – 03.2022: Python & Hydra: manage your environment settings (1h). (๐ต๐ฑ).
- Code:Me – 09.2021: Introduction to the Time-Series Analysis in
Pythonandstatsmodels(3h). (๐ต๐ฑ). - Code:Me – 04.2021: Spatial Data Processing and Analysis in Python – level Intermediate. Rasters, networks and vectors (40h). (๐ต๐ฑ).
- 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. (๐ต๐ฑ).
- Code:Me – 07.2019: Python workshops for beginners. Materials available here. (๐ต๐ฑ).
- Blue Dot Solutions – 08.2016: Introduction to image processing in Scilab. One-day long workshops for startups accelerated during Space3AC event. (๐บ๐ธ).
- ARDiS – 06.2014: Introduction to image processing in Scilab. Workshops for participants of the Second Space Engineering Meetings in the Opole city. (๐ต๐ฑ).
- ARDiS – 04-05.2014: Practical electronics course. Course for high school students. (๐ต๐ฑ).
- ARDiS – 03-06.2013: Introduction to electronics. Course for high school students. (๐ต๐ฑ).
Talks
- 07.2023: We can get more from spatial, GIS and public domain datasets! EuroPython 2023. (Prague, Czechia, ๐บ๐ธ)
- 05.2023: PyOpenSci: The organization that helps you develop and maintain Open Source / Open Science Python package (online, in ๐ต๐ฑ).
- 12.2022: Augmentation of public datasets with Python and Geostatistics (online, in ๐ต๐ฑ). PyTech Summit 2022
- 09.2022: Data Visualization with Python and JavaScript (online, in ๐ต๐ฑ). Tydzieล Programisty 2022.
- 06.2022: Storytelling with data (online, in ๐ต๐ฑ). Hack4Change 2022.
- 03.2022: Don’t judge too quickly, the autism spectrum in spatial epidemiology (online, in ๐ต๐ฑ). Define Normalnoลฤ 2022: Konferencja o Neurorรณลผnorodnoลci.
- 12.2021: Simple model == simple implementation. Do not expect it in TensorFlow (online, in ๐ต๐ฑ). PyTech Summit 2021
- 10.2021: How to publish the package on PyPI. HackerSpace Tricity Hacktoberfest 2021 (online, in ๐ต๐ฑ).
- 10.2021: Pyinterpolate: spatial interpolation with Python. HackerSpace Tricity Hacktoberfest 2021 (online, in ๐ต๐ฑ).
- 08.2021: Health Geography is not a fad. Hackerspace Tricity AMA #S02E010 (online, in ๐ต๐ฑ).
- 06.2021: Interpolation of air pollution in Poland with Python. Summer Data Society Conf (online, in ๐ต๐ฑ).
- 04.2021: Open Science / Open Software packages in Python. The Good Practices of development. PyGDA #65. (online, in ๐ต๐ฑ)
- 04.2021: Pyinterpolate – Python package for spatial interpolation and deconvolution of areal data. GeoPython 2021. (online, in ๐บ๐ธ).
- 03.2021: Personal Time Management in Notion. Hack Yourself! #1 (PL: Zhackuj siebie! #1), (online, in ๐ต๐ฑ)
- 01.2021: GeoPandas – Python package for spatial data engineering. PyGDA #62, (online, in ๐ต๐ฑ)
- 12.2020: GeoPandas – Python package for spatial data engineering. PyCode 2020, (online, in ๐บ๐ธ).
- 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 ๐ต๐ฑ)
- 10.2018: Machine learning and satellite images: use cases. KarieraIT. (Wroclaw, Poland, in ๐ต๐ฑ). Github.
- 03.2018: An automation of EO data processing in Python. KarieraIT. (Gdansk, Poland, in ๐ต๐ฑ). Github.
- 01.2018: Pythonic way to process Earth Observation datasets. PyGDA #32. (Gdansk, Poland, in ๐ต๐ฑ).
- 03.2017: Python and OpenCV: Digital Fourier Transform Use Cases. PyGDA #23. (Gdansk, Poland, in ๐ต๐ฑ).
- 04.2016: Image Filtering in Python and OpenCV. PyGDA #13. (Sopot, Poland, in ๐ต๐ฑ).
- 06.2014: Space Medicine: The Engineerโs Point of View. The Second Space Engineering Meetings in the Opole city. (Opole, Poland, in ๐ต๐ฑ).
- 06.2013: Spacecraftโs Electromagnetic Compatibility. The First Space Engineering Meetings in Opole city. (Opole, Poland, in ๐ต๐ฑ).
- 05-06.2012: The road to the stars. Lectures about astroengineering, astrophysics, and planetary science for the public. (Opole, Poland, in ๐ต๐ฑ).
Scientific conferences and posters
- 11.2021: S. Moliลski. The Session-Based kNN implementation in TensorFlow. ML in PL 2021. Poster (๐บ๐ธ)
- 10.2021: S. Moliลski. Lyme Disease Risk Assessment Based on the Earth Observation Data and Spatial Processing Technique. ESA ฮฆ-week 2021. Worldwide. Poster & presentation (๐บ๐ธ).
- 03.2019: S. Moliลski, et.all, System Architecture for Species Distribution Modeling based on the Remote Sensing and GIS data, VII Forum BioGIS, Poznan, Poland (๐ต๐ฑ).
Papers
- S. Moliลski. Pyinterpolate: Spatial Interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software. February 2022. (๐บ๐ธ).
- S. Moliลski, OCR algorithms and the external databases in the case of NAO robot communication, Silesian Electrical Journal, May 2016. (๐ต๐ฑ).
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. (๐ต๐ฑ).
Reviews
- NAIF PDS4 Bundler: A Python package to generate SPICE PDS4 archives (JOSS). (๐บ๐ธ).
- PyGMT: A Python interface for the Generic Mapping Tools (โค๏ธ this package for ๐บ). (๐บ๐ธ).
Professional magazines
- Who is needed in the Data Science, Programista, August 2020. (๐ต๐ฑ).
- Time Series Analysis in Python with Earth Observation Data, Programista, October 2019. (๐ต๐ฑ).
- Earth Observation Data Processing in Python, Programista, May 2018. (๐ต๐ฑ).
- Data Science and Earth Observation: data preparation, Programista, December 2018. (๐ต๐ฑ).
Other
- 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.
Contact: simon@ml-gis-service.com