Machine Learning Engineer Data Scientist Statistic.
  • Solve complex organizational problems through Machine Learning solutions;

  • ETL processes for data integration and data cleaning;

  • Support and enhancement of Language Models, Classification, Regression, and Clusterization Models;

  • Application of scalable solutions developing end-to-end approaches that are explainable to the final customers;

  • Knowledge of Database queries to extract data and provide insights about the company from the datalake;

  • Implementation of Data Science pipelines using Cloud Computing.

Skills: Azure Data Lake · Azure Databricks · Spark · Pandas · Git · GitHub · GNU/Linux · Python · Machine Learning · Linux · Scikit-Learn

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