Data scientist in Sberbank's retail model-risk center: validates and monitors ML models (mostly classic ML on tabular data, plus NLP), writes risk-assessment methodologies, builds Python validation tests and alternative models, and automates validation/monitoring using agent and non-agent approaches. Stack: Python, PyTorch, HuggingFace, PySpark, SQL.
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