Mickael Osvaldo de Oliveira

Mickael Osvaldo de Oliveira

Computer engineer ⋅ Business & Data Analytics ⋅ Statistics + IA

About Me

Computer Engineer from the Instituto Federal de Minas Gerais (IFMG). I earned a university internship with a cumulative average (> 80) and won a programming contest with Python (marathon format). At QuintoAndar I first joined the Business & Performance team, building data-ingestion and processing pipelines for the Agents XP unit, and was later converted to full-time. I currently work in Payments & Incentives, maintaining automations for the domain and supporting stakeholders across other lines. Recently I completed my capstone on extracting, normalizing, and processing Bitcoin time series to compare deep neural architectures (e.g., LSTM/GRU) against classical statistical baselines for price forecasting. Selected implementations and code are available on my GitHub.

Professional & educational journey

  • 2024 – Moment
    Business & data Analytics (Revenue Management)
    Quinto Andar

    SQL Python PySpark Looker Apache Superset Databricks Google Apps Script
  • 2023 - 2024
    Business Analytics intern
    Quinto Andar

    During my internship, I worked on the Agents XP team at Latin America’s largest real-estate group. My workstream focused on improving Net Promoter Score (NPS) through data-driven initiatives. learned from top practitioners to present insights succinctly and to deploy business models at scale at a state-of-the-art company.

    • Developed dashboards on Looker and ETL pipelines with Databricks to support business decisions;
    • Delivered a parallelized reporting framework with Python (Pyspark, Pypandas) on Databricks, scaling to thousands of Partners with consistent performance;
    • Built the tax invoice report (“Informe de Notas Fiscais”) module to consolidate fiscal data and deliver standardized statements for partners;
    • Orchestrated the communication flow that schedules and distributes reports to internal stakeholders;
    • Maintained data consistency across pipelines. Tuned SQL to reduce latency in large datasets;
    • Collaborated with Finance and Operations to align metrics and requirements.Google Sheets + Apps Script + Looker.

    SQL Python Looker Databricks Google Apps Script
  • 2022
    On-Campus Internship
    Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais -STEDEaD

    Provided support and assistance in implementing new course modalities on the +IFMG Distance Learning Platform.

    Communication Mentoring Collaboration Moodle
  • 2020 - 2025
    Bachelor’s in Computer Engineering
    Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais

    GPA: 8.7/10

    As a teenager I left home to pursue my goal of becoming an engineer. Beyond the classroom, I learned to navigate real-world constraints while building a rigorous foundation in algorithms, data structures, computer systems, ML/AI and databases.

    Winner — 2023 IFMG Programming Marathon
    Resilience Python Data Analysis Statistics Math SQL/Database architecture C/C++ Competitive programming Networks Linux Embedded Systems Microcontrollers Distributed systems Operating Systems