Ruslan Sakaev is a skilled data scientist with extensive experience in developing machine learning models across various industries. Currently employed at Avito since July 2022, Ruslan focuses on enhancing content quality by designing machine learning models to detect fraudulent and inappropriate content, including a custom NLP model that supports all text-related tasks in the department. Previously, from April 2021 to June 2022 at Sberbank, Ruslan contributed to the Model Validation department by streamlining and stabilizing models and pipelines, addressing diverse tasks such as tabular data, NLP, and computer vision. Ruslan's earlier experience at Rosneft from February 2015 to April 2021 involved optimizing machine learning applications in the oil and gas sector, notably improving the efficiency of hydraulic fracturing calculations. An education at MADE Big Data Academy resulted in a degree in Machine Learning Engineering, complemented by a Master's degree in the Development and Operation of Oil and Gas Fields from Petroleum Jobs.
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