Analysis of large, structured and unstructured datasets from various sources (e.g., CRM systems, web analytics, internal databases, external APIs)
Development and application of machine learning algorithms and statistical models for the prediction, classification, and optimization of business processes.
Creation of dashboards, reports, and interactive visualizations to support data-driven
Decisions – for departments and management
Use of modern tools and technologies: from Python (e.g., scikit-learn, pandas, XGBoost, TensorFlow/Keras, PyTorch) to R (e.g., tidyverse, shiny) to SQL and Power BI
Continuous development of your skills – through training, your own research, open-source contributions and exchange within our global data science community.
Linked-in
Google