Howdy Logo
Image of Aurélio D.

Aurélio D.
Data Analyst

R
Sql
Java
Python
C#
Amazon Aws
Bio

With over a decade of experience in mathematical and data modeling, I have established a robust career in applied mathematics, focusing on statistical analysis in both health-related fields and various corporate environments. My academic background includes a Bachelor's degree in Mathematics from the Federal University of Viçosa, a Master's degree in Biometrics with a specialization in Applied Mathematics from São Paulo State University “Júlio de Mesquita Filho” (UNESP), and a Doctorate in Computational Biology and Systems with a specialization in Mathematical and Computational Modeling from the Oswaldo Cruz Foundation.

  • Data Manager
    5/1/2023 - Present

    Analyzed data and developed processes utilizing statistical models and Airflow tools. Applied programming expertise to devise strategies for resolving database-related issues. Conducted data collection and analysis to validate strategies and proposals through the construction of explanatory and predictive models. Supported decision-making in the planning area using tools such as Python, R, DataStudio, Power BI, Alteryx, SQL, and Airflow.

  • Data Engineer
    11/1/2022 - Present

    Analyzed data and developed processes through statistical resources, ETL tools, and programming to enable strategies for solving problems related to the company's database, contributing to data construction in the cloud. Leveraged technical expertise in Python, R, and SQL for data analysis and ETL development. Utilized Airflow for orchestrating complex data workflows and automating tasks in cloud environments.

  • Data Analyst
    6/1/2022 - 12/1/2023

    The role entailed analyzing data and developing processes using statistical resources and Google Cloud tools, which enabled strategies for solving database-related problems. Developed proficiency in Python, R, and SQL, and demonstrated extensive experience with DataStudio and BigQuery.

  • Data Analyst
    9/1/2021 - 6/1/2022

    Analyzed data and developed processes using statistical methods and Google Cloud tools, focusing on leveraging the power of cloud computing to streamline operations. Gained proficiency in programming languages such as Python and SQL to manipulate and extract valuable insights from large datasets. Utilized Google BigQuery for efficient data querying and analysis. Employed Google Cloud Storage for secure and scalable data storage solutions. Applied machine learning techniques through Google AI Platform to create predictive models, aiding in strategic decision-making. Enhanced problem-solving strategies by integrating various statistical resources and tools, optimizing database management and operational workflows.

  • Data Analyst
    5/1/2021 - 9/1/2021

    Engaged in research initiatives focused on data analysis, creating mathematical equations, and optimizing programs. Developed and implemented algorithms to solve complex problems associated with the coronavirus, utilizing advanced programming techniques and data-driven methodologies.

  • Data Analyst and Data Scientist
    3/1/2016 - 2/1/2018

    Developed proficiency in analyzing complex healthcare data and constructing optimization equations for clinical applications. Implemented and programmed advanced algorithms specifically designed to address and solve issues within Intensive Care Units. Demonstrated expertise in mathematical modeling and data-driven problem-solving approaches, significantly contributing to the efficiency and effectiveness of medical operations and patient care in critical settings.

  • Data Analyst and Data Scientist
    3/1/2016 - 2/1/2018

    Contributed to a research project focused on analyzing data and developing mathematical optimization equations, alongside programming algorithms for problem-solving related to Intensive Care Units. Developed technical proficiency in data analysis tools and mathematical modeling software. Implemented optimization techniques and created efficient algorithms to enhance decision-making processes in healthcare environments.

  • Data Analyst and Data Scientist
    8/1/2013 - 7/1/2015

    Participated in a research project focused on analyzing data and developing mathematical equations and programming algorithms to address issues related to Dengue and Malaria. Acquired expertise in statistical analysis and data modelling, implementing advanced algorithms to identify patterns and predictors of disease outbreaks. Utilized programming languages such as Python and R for data manipulation and visualization. Developed proficiency in machine learning frameworks like TensorFlow and Scikit-learn to create predictive models. Engaged in extensive data collection and cleaning processes using tools like Pandas and NumPy, ensuring high-quality datasets for analysis. Demonstrated abilities in presenting research findings through comprehensive reports and visualizations, employing tools like Matplotlib and Seaborn for clear and impactful data representation.

  • Data Analyst and Data Scientist
    8/1/2013 - 7/1/2014

    Engaged in a research project focused on data analysis to develop mathematical equations and programming algorithms addressing issues related to HIV and Rubella. Acquired proficiency in statistical analysis, mathematical modeling, and algorithm development. Utilized tools such as MATLAB and R for computational tasks and data visualization. Enhanced skills in bioinformatics and epidemiological modeling, contributing to the formulation of predictive models and problem-solving methodologies.

  • Computational Mathematics and Computational Modeling at Oswaldo Cruz Foundation
    2018 - 2022

  • Mathematics at Federal University of Viçosa
    2011 - 2015

  • Applied Mathematics Subarea at São Paulo State University Júlio de Mesquita Filho
    2016 - 2018

  • Computer Science at Federal University of São Carlos
    2023 - 2025

Aurélio is available for hire

Hire Aurélio D.
Check icon

All Howdy Candidates are vetted for skills and english proficiency.

Hire Howdy Experts
Hire Now
Related Articles