Jaqueline Medeiros

Analytics Engineer

jaqueline@devmedeiros.com medeiros-jaqueline | devmedeiros | devmedeiros.com

About Me

Professional with an analytical profile, and five years of experience in Data Science. I hold a bachelor’s degree in Statistics and received a Specialist degree in Database with Big Data. Currently working as an Analytics Engineer at Henry Schein Brazil.

Ability to solve complex problems and generate insights that help improve data governance, productivity, and transparency.

Experience

Henry Schein Brazil

Analytics Engineer 12.2022 - Present
  • Streamlining data structures for smooth querying and efficient reporting;
  • Collaborating with cross-functional teams to grasp and address specific business requirements;
  • Creating and maintaining APIs in Flask to provide vital data to internal customers, ensuring a continuous flow of critical information.

Electoral Regional Court of Goiás

Data Analyst 06.2020 - 11.2022
  • Data ingestion from multiple sources using a combination of SQL, R, and Python. Making views to be used in Business Intelligence dashboards;
  • Creation and maintenance of interactive Power BI dashboards in order to monitor the cycle of electoral processes in order to find bottlenecks;
  • Understand and report main variations in key indicators.

GRUPOM

Data Analyst (Intern) 04.2019 - 05.2020
  • Planning and implementation of electoral, opinion, and market surveys with the objective of creating a database ensuring complete mapping of market and consumer behavior;
  • Data collection, treatment, and cleaning as well as static and dynamic Business Intelligence reports;
  • Net Promoter Score (NPS) monitoring.

Languages

Portuguese - Native

English - Advanced

French - Beginner

Skills

  • SQL, Python, Airflow, Databricks, Power BI, Git, Streamlit, Flask, Azure, Django, R

    • Education

    PG. Database with Big Data

    Federal University of Goiás
    04.2022 - 08.2023

    B. Statistics

    Federal University of Goiás
    03.2014 - 12.2020

    Interests

  • Data Analysis
  • Machine Learning
  • Sharing Knowledge
  • Continuous Improvement

    • Projects

    Nota Fiscal Goiana

    10.2022 - Present

    This project presents a complete solution to ETL the data from Nota Fiscal Goiana. It also presents the curated data in a Streamlit dashboard.

    Raio X - Entendendo o Tempo de Julgamento dos Processos Judiciais

    10.2020 - 11.2020

    This project marked my team’s participation in the “Hackathon CNJ - Desafio Tempo e Produtividade”.

    Publications

    J. S. Medeiros,V. N. Lopes Manheze,D. F. Cordeiro, "Ciência de dados aplicada à extração e análise do programa Nota Fiscal Goiana", Revista Eletrônica de Sistemas de Informação e Gestão Tecnológica, vol. 13, pp. 109-120, 2023.
    J. S. Medeiros,V. V. Júnior, "Uma aplicação do processo de nascimento e morte", Anais Workshop on Statistics and Probability, Satellite Meeting - ICM 2018, pp. 24, 2018.
    J. S. Medeiros,R. M. Vasconcelos, "Análise e Monitoramento das Taxas Inflacionárias no Brasil Durante o Período de 2002 - 2016", Anais do Congresso de Pesquisa, Ensino e Extensão, vol. 14, pp. 431, 2017.

    Certifications

    Machine Learning for Digital Business

    Alura - 2022

    Databricks Lakehouse Fundamentals

    Databricks - 2022