Hi I am Kamil Raczycki /rachitsky/ 👋🏻
I’m a data scientist specializing in the geospatial domain 🌍
I’m maintaining multiple open-source projects dedicated to geospatial data science and data engineering, utilizing modern technologies (eg: DuckDB, GeoArrow, GeoParquet).
You can check my projects here.
You can find me on these platforms:
Python • NumPy • Pandas
100%
GeoPandas • scikit-learn • SQL
90%
PyTorch
80%
DuckDB • PyArrow • Polars
70%
Deck.gl
50%
HTML5 • CSS3
90%
Angular • Typescript • SCSS
70%
C# • .NET
50%
I have been promoted to the senior role after delivering geospatial projects influencing platform logistics expansion. After the promotion, I have been tasked with the desing and implementation of a spatial model supporting the logistics & deliveries department.
Technologies used: Python, Google Cloud Platform Big Query, GeoPandas, Shapely, scikit-learn, XGBoost/CatBoost, MapBox & ESRI API, DuckDB, Polars, PyArrow, MLFlow, Seaborn.
I have joined the Location Intelligence team at Allegro e-commerce platform to help with spatial analysis for the Out-Of-Home deliveries logistics.
I have started as a software engineer / data engineer to setup geospatial data warehouse from scratch and transitioned to the data science role after almost two years at the company.
Technologies used: Python, Apache Airflow, Google Cloud Platform Big Query, GeoPandas, Shapely, MapBox & ESRI API.
I joined the startup Yoniee, where I was involved in the design, programming and implementation of a recommendation system that generates rewards for users on a city map based on their activity in the app.
Technologies used: Python, FastAPI, Pydantic, GeoPandas, Celery, RabbitMQ, Redis, Postgres, PostGIS, TimescaleDB, Overpass, Docker, Kubernetes, Rancher, Grafana, Prometheus.
My first commercial job was at a local company DSR S.A., specializing in IT systems for the manufacturing industry. I was responsible for systems integration using Enterprise Service Buses and later transitioned to the full stack development of web systems supporting workers in factories.
After finishing my data science studies, I've joined the predictive maintenance project in the company as a Data Scientist.
Technologies used: Python, FastAPI, TypeScript, Angular, C#, dotNET, Microsoft Azure, PostgreSQL, Oracle DB, MS SQL, MongoDB, Redis, Docker, Kubernetes, Rancher, Grafana, Prometheus.
BSc in Computer Science | Msc in Data Science.
My thesis related to Bicycle-Sharing Stations location planning.
During studies, I've met Piotr Szymański, who became the supervisor of my thesis, and Piotr Gramacki, Kacper Leśniara, Szymon Woźniak with whom I developed the SRAI library and conducted research in the geospatial data science domain.