Umiejętności zawodowe i inne:
Data scientist with strong experience in utilizing statistical and machine learning techniques to extract valuable insights from large data sets.
• Professional interests
– Staying up-to-date with the latest developments and advancements in the field of data science, such as new
algorithms, tools, and techniques.
– Applying data science techniques to real-world problems and industries, such as healthcare, finance, retail, and more.
– Developing and implementing machine learning models and data visualization techniques to extract insights and drive decision making.
Dodatkowo:
Skill Data Analysis: Dask, PySpark, Pandas, Numpy, SQL, RedShift
Skill Data Science: Scikit-Learn, Pytorch, CatBoost, TensorFlow, Keras, MlFlow Skill NLP: Gensim, Nltk, Farm, HuggingFace, Natasha, Pymorphy2
Skill Data Visualisation: Matplotlib, Streamlit, Seaborn, Plotly
Skill Work with Graphs: NetworkX, Gephi, Snap, igraph, Deep Graph Library Skill Model Deployment: Flask, FastAPI, Docker, Cloud (Yandex Cloud), ONNX
