Experience

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  Alegretti

  Mar 2008 - Dec 2010

  Young apprentice

  I joined the Senac-RS Young Apprentice program after the internship offeredby Senac, I was successful in being hired at the company with the mainactivities of inventory control, banking service, and customer service.

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  Grupo printmax

  Jan 2011 - Oct 2013

  It technical

  Diagnosed and resolved technical problems related to printers. Performed printing tests and equipment configurations. Managed technical support calls and provided on-site assistance to customers

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  Altair domingos barazetti e cia ltda

  May 2012 - Oct 2013

  Support analyst

  I provided IT and ERP support for the engineering, financial, marketing, commercial and factory sectors.Conducted technical training to increase ERP good use. Supplier contract management, PC formatting and backup management

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  Pro system

  Mar 2014 - Oct 2014

  Support analyst

  User support, computer formatting and configuration, and IT assistance forvarious types of businesses.

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  Center of excellence in energy and power systems - ceesp

  Aug 2018 - Mar 2020

  Scientific initiation

  Adaptive load forecasting and climate condition prediction for macro-regions within Brazil's National Interconnected System (SIN), aligned with the energy forecast data from electricity utility companies. This project, with extensive applicability, was specifically focused on Petrobras Energia's Gas and Energy sector and played a decisive role for energy management, especially given the growing importance of gas in Brazil's energy matrix.Excel, EDA, statistical.

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  Instituto de redes inteligentes

  Mar 2020 - Aug 2020

  Metrologista

  Metrologista de inversores fotovoltaicos.

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  Center of excellence in energy and power systems - ceesp

  Aug 2020 - now

  • The objective was to identify the key indicators that distinguish usersexhibiting anomalous behavior for fraud detection.• Use of data analyses and data science skills such as statistics, statisticalinference and data analysis to identify the principal features that lead to fraudwith python language.• Created a fraud detection model using tensorflow that achieved the company 40% accuracy in field inspections.SQlite, Python, machine learning, IA, sk-learn, tensorflow, keras, matplotlib Show less

  • PHD Student and Data Scientist

    Aug 2022 - now

  • Masters Student and Data Scientist

    Aug 2020 - Aug 2022