flexible, adaptable, and focused on using engaging methods to help students achieve their goals.
Advert description
Data analysis (a/b testing, causal inference, experimental design)
Traditional ML (supervised learning, forecasting, clustering)
Data engineering (ETL, cloud development, model monitoring, data modeling)
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