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Data Scientist
Ipiranga• February 2021 - Present
Ipiranga is a Brazilian fuel company and is a subsidiary of Ultra. It is the second-largest Brazilian fuel distribution company, and the largest in the private sector. I worked in the Pricing Data Science team, responsible for generate data science solutions to make pricing smarter. Tasks: I was responsible for the development and maintenance of several data science projects where the following skills were used: • Data analysis with Python to discover opportunities for improvement in company processes and machine learning models; • Direct contact with geospatial data analysis in Python to extract insights and features for ML models. • Direct contact with technical demands for the development of Machine Learning models (creation, tuning and validation) using Python, Scikit-Learn, Prophet and MLflow; • Development and maintenance of Machine Learning pipelines from ETL to visualization of model performance in production using good MLOps pratices, Kedro, Python, PySpark, MLflow and Power BI; • Use of cloud platforms such as Azure Data Lake Store, Databricks and Azure ML; • Expansion of the company's business knowledge and its relevant commercial technical aspects; • Development of agile work methodologies;
Education
UNESA
Data Science, BE• June 2020 - Present
Universidade do Estado do Rio de Janeiro
Electrical Engineering & Computer Science, BS
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