Eric Oliveira Gomes

Experience

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  OG Propaganda

  Jan 2017 - Dec 2017

  Apprentice in Graphic Design

  • Participated in the creation of promotional materials.• Organized direct mail.• Performed orthographic correction.

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  Junior Enterprise - ETEC Joaquim Ferreira do Amaral

  Feb 2019 - Dec 2019

  Full Stack Developer

  • Developed websites and desktop applications for the school and small businesses.

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  BeeData

  Oct 2020 - Jun 2022

  • Trained new members, and prepared presentations about diverse topics on data science, that were later published in Youtube.• Lead the integration with other extension groups related to data, consulting and finance.• Organized teams to participate in data science competitions. • Created content about data science (https://tinyurl.com/beedatachannel).• Participated in data science competitions in Kaggle and other platforms.

  • Work Group Leader

    Apr 2021 - Jun 2022

  • Member

    Oct 2020 - Apr 2021
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  Escola Politécnica da USP / LTI-PCS

  Mar 2021 - Mar 2022

  Research Intern (Scientific Initiation)

  • Developed a solution with neural networks in Python to identify mooring line failures in offshore oil platforms. This project was supported by Petrobras, with the intent of being applied in one of their platforms.• Enhanced data processing pipelines by implementing parallelism andpinpointing bottlenecks, achieving a tenfold increase in processingspeed and a 2.5x reduction in storage usage.• Wrote articles and participated in conferences, both in English and Portuguese. This work resulted in an article published in the XVIII National Meeting on Artificial and Computational Intelligence (ENIAC). Furthermore, the resulted were summarized in a presentation in the 29º USP International Symposium of Undergraduate Research. Show less

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  BTG Pactual

  May 2022 - Aug 2022

  Data Science Intern
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  BTG Pactual

  Jan 2023 - Apr 2023

  Data Science Intern

  • Developed and deployed cluster-executed data processing pipelineswith PySpark, orchestrating tasks with Airflow, which enabled the gen-eration of reliable datasets with regular scheduling.• Created models for client classification, generating accurate and ex-plainable predictions applied to enrich marketing strategies.• Presented new models and results effectively to internal clients in re-curring and one-off meetings, ensuring the creation of value.

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  CentraleSupélec

  Jul 2024 - Aug 2024

  Research Summer Intern

  • Engineered a novel implementation of spiking neurons, optimized forcost-efficient deployment on low-cost FPGAs, pushing the boundariesof neuromorphic computing.• Conducted in-depth analysis and troubleshooting of high-speed spikingneural networks, enhancing performance for classification tasks.