Thiago Ferreira

Experience

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  Zenit Aerospace Jr

  Oct 2015 - Mar 2017

  Marketing and Administration Assistant

  - Creation of Ads with Google Ads and Facebook Ads- Copywriting- Creation of Artworks with CorelDRAW and Canva- Creation of Administrative Documentation- Decision-making regarding the direction of the EJ- Participation in MEJ Events- Active Prospecting of Clients- Planning and modeling of processes for aerial imaging services.

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  BLUEMETRIX

  Jan 2020 - Jan 2021

  Data Scientist

  - Development of Machine Learning models to aid decision-making in the Financial Market- Maintenance and Refactoring of Legacy Code- Data Collection and Processing using Python.- Creation of Dashboards using Power BI and Excel- Process Automation using Python- Technical Analysis of Charts in the Financial Market- Automation and Mapping of Internal Processes using Pipefy.

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  A.I.lab UnB

  Mar 2021 - May 2021

  Data Scientist

  - Working with Flask APIs- Creation of DAGs using Metaflow- Data Flow Modeling

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  Poatek

  Sept 2021 - Jan 2022

  Data Scientist

  - Training and Refinement of Prediction Algorithms for Documents- Backend Development with Python- Use of Spacy for NLP- Code Rewrite for Scala Spark- Programming of DAGs using Airflow

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  Sicredi

  May 2022 - Mar 2024

  Data Engineer

  - Databricks platform administrator using AWS and Unity Catalog- Experience with Databricks Workflows, API and Delta Live Tables- Training and Capacitation of Sicredi's coastal teams- Construction of Tools, Frameworks, and Libraries for general use to facilitate the transition of teams to the new centralized data platform.- Access and Process Management regarding the organization of repositories.- Boto3 automatization scripts- ETL with Spark

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  Caylent

  Mar 2024 - now

  Big Data Engineer

  * Collaborated with the team’s architects to structure a Vector Database Benchmark, researching parameters to evaluate emerging database technology. Established a pipeline structure using datasets with various formats, dimensions, and vector sizes, enabling performance assessment for Amazon MemoryDB, Postgres PGVector, Amazon OpenSearch, and Pinecone. Conducted this benchmark for a large investment firm on behalf of AWS, utilizing Python, Terraform, AWS Glue, Lambda, and Step Functions. Implemented embedding algorithms to identify the most suitable algorithm for vector storage.* Applied Agile practices daily, participating in backlog creation, sprint planning, and organization, enhancing organizational skills within Agile frameworks.* Developed data solutions using Databricks, SQL, and PySpark. Show less