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leticiagcsilva/README.md

Hello, I'm Leticia 👩🏻‍💻

ABOUT ME

Data & Analytics Engineer at Mercado Livre, working in the Intelligence Operations team for Fury services. Experience in data architecture and Machine Learning in production, leveraging GCP and AWS, MLflow for model tracking, GitHub for version control, and messaging systems like Pub/Sub and Kafka.

Focused on ETL/ELT, exploratory data analysis, data visualization (Looker Studio, Power BI), Machine Learning model development, and deployment. Expertise in supervised and unsupervised models, Deep Learning, time series, and generative AI, ensuring monitoring, retraining, and scalability in production.

Experience across industries including education, marketing, engineering, optimization, fraud prevention, and academic research. Generalist, impact-driven professional, developing scalable, data-driven solutions to support decision-making.

PROFESSIONAL EXPERIENCE

🛒 Data & Analytics Engineer - Mercado Livre (09/2023 - Current)

🚚 Data Scientist II - Frete.com (08/2022 - 09/2023)

⚡ Data Scientist I - Energisa (06/2020 - 07/2022)

💡 Business Analysis Intern - Deode Inovação e Eficiência (02/2020 - 06/2020)

📚 Data Intern - Rede de Ensino Apogeu (12/2019 - 04/2020)

EDUCATION

👩‍💻 Bachelor in Software Engineering - UFMT (2025 - 2029)

🛰 Residence in Embedded Systems - IFMA (2024 - 2025)

🤖 MBA em Machine Learning in Production - UFSCar (2023 - 2025)

🌐 Postgraduate Studies in Internet of Things - IFES (2023 - 2024)

🗞️ Specialization in Big Data and Data Science - Prominas University (2022 - 2023)

🦾 Bachelor in Control and Automation Engineering - IF Fluminense (2012 - 2018)

CERTIFICATIONS

🗞️ Google Data Analytics Certificate - Google

🗞️ Google Project Management Certificate - Google

🗞️ Generative AI for Data Scientists - IBM

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  1. data_engineering data_engineering Public

    HTML

  2. internet_of_things_specialization internet_of_things_specialization Public

    C++

  3. leticiagcsilva.github.io leticiagcsilva.github.io Public

    HTML

  4. statistics_for_data_science statistics_for_data_science Public

    Applied examples, using the concepts present in the book Statistics for Data Science

    Jupyter Notebook

  5. mba_machine_learning_in_production mba_machine_learning_in_production Public

    Este repositório reúne projetos, notebooks, códigos e materiais desenvolvidos ao longo do MBA em Machine Learning in Production (MLP), promovido pelo Instituto de Tecnologia e Inovação da UFSCar.

    Jupyter Notebook 1