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Matheus H.
Data Scientist

R
Sql
XGBoost
Tableau
Python
Bitbucket
AWS SageMaker
Bio

Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.

  • Data Scientist
    9/1/2023 - Present

    Worked as a data science consultant developing projects focused on machine learning, AI, business intelligence, and data engineering for large multinational companies. Developed an ETL tool using Python to generate carbon emissions reports by unifying semi-structured data from over 50 diverse spreadsheets. Created machine learning models for factories to optimize production processes, including a regression model to predict product humidity, reducing material waste and increasing factory efficiency.

  • Data Scientist
    4/1/2022 - 9/1/2023

    Developed machine learning models using key Python libraries to assist credit risk and CRM decision-making, successfully reducing default rates on card products and loans. Built management dashboards with Power BI and Python to consolidate various data sources, enhancing data quality and facilitating better decision-making. Developed APIs with Python and Docker for real-time credit scoring integration, implemented MLOps concepts, and collaborated on both structured and semi-structured data for machine learning model development.

  • Data Science Intern
    2/1/2021 - 4/1/2022

    Conducted data analysis to generate insights and monitor business KPIs, while constructing dashboards and visualizations to support research and production operations using tools like R, Tableau, and Spotfire. Collaborated with a data science team to solve problems leveraging statistics and machine learning techniques.

  • Data Engineering Intern
    8/1/2020 - 11/30/2020

    Involved in developing an ETL application for data extraction, transformation, and loading into databases using Python and SQL Server. Tasks included data modeling, database queries, and data manipulation utilizing Python, SQL, and Excel.

  • Aerospace Engineering at Federal University of Uberlândia
    2015 - 2022

  • Fundamentals of Python for Data Analysis at Data Science Academy
    2/1/2020

  • Big Data Analytics with R and Azure Machine Learning at Data Science Academy
    3/1/2021

  • Virtual Experience Program Participant - Digital Technology Data Analytics Program at GE
    10/1/2020

  • Lean Manufacturing at CAE Training
    4/1/2020

  • White Belt at CAE Training
    2/1/2020

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