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- Communication with the customer (internal customer), communication with the data architect, data analysts, programmers
- Collection of structured and unstructured data, data preparation
- Data analysis, machine learning, data transformation, predictive modeling, data visualization, text mining, NLP
- Design and development of a new solution (R, Python)
- Track new data trends
- Introduction of new solutions and methods in the field of Data Science
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