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Image of Matheus A.

Matheus A.
Data Engineer

Skills

Python
Sql
Microsoft Excel (Advanced Analytics Add-ons)
Al
R

Matheus is available for hire

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Bio

Graduate in Statistics with a concentration in Data Science, specializing in enhancing decision-making through data analysis and the development of Artificial Intelligence and Statistical models. An experienced Data Scientist adept at leveraging AI for business solutions, currently focusing on the development of Machine Learning models and neural networks to optimize investment fund operations. Demonstrates comprehensive expertise in executing end-to-end Data Science projects. Reputation for quickly mastering new concepts, efficiently adapting to new challenges, and delivering rapid results. Background enables effective problem-solving methodologies. In addition to academic and professional experience, has engaged in self-initiated projects and presented on the application of Convolutional Neural Networks (CNNs) in the financial market at The Developers Conference (TDC).

  • Data Scientist
    4/1/2023 - Present

    Developed and implemented AI for decision-making in financial markets, generating an annual return of approximately 17% on the fund's portfolio. Managed the deployment and maintenance of AI models in production environments, ensuring both performance and scalability. Automated the decision-making processes driven by AI models. Conducted extensive experimentation, creation, testing, and implementation of innovative AI models, utilizing best practices and methodologies from the literature, ranging from Random Forest to Transformers.

  • Data Scientist Trainee
    8/1/2022 - 3/1/2023

    Developed expertise in data cleaning and preparation with an emphasis on automated collection, ensuring data integrity and accessibility. Created and evaluated business metrics to generate actionable insights, optimizing these metrics along with investment strategies. Deployed models and dashboards to enhance decision-making processes. Demonstrated proficiency in the development of statistical modeling, machine learning, and deep learning techniques, particularly for time series problems, including pre-processing and optimization tasks to improve model performance and reliability.

  • Researcher
    10/1/2021 - 12/1/2021

    Executed a multicenter study focused on understanding the characteristics of a hard-to-reach population using various statistical techniques in exploratory data analysis. Proficiently prepared detailed reports and effectively communicated results through advanced storytelling techniques. The tools utilized in this role included RStudio, Excel, and Jamovi for data analysis, alongside Word for report preparation. Skills in storytelling were honed to convey complex statistical findings in a comprehensible and engaging manner.

  • Intern
    1/1/2021 - 12/1/2022

    Produced work focused on demographic analysis and provided extensive support to teachers and students. Developed and shared support materials, including detailed tutorials for using ArcGIS and explained complex demographic concepts to enhance student understanding. Leveraged a range of technical tools and frameworks including Excel for data organization, RStudio for statistical analysis, LaTeX for professional-grade document preparation, ArcGIS for geographic information systems tasks, and Jamovi for statistical analysis. This role facilitated the acquisition of comprehensive technical expertise and an enhanced capability to support academic processes through technological solutions.

  • Data Scientist
    1/1/2021 - 7/1/2022

    Acquired in-depth proficiency in Python for developing robust machine learning models. Leveraged Git for version control to ensure collaborative and streamlined code management. Deployed applications on Heroku, demonstrating skills in cloud platform deployment. Utilized SQLite and SQL for efficient database management and querying, ensuring optimal data storage and retrieval processes. Developed advanced data analysis and visualization skills using Excel and Power BI to present clear and actionable insights.

  • Nursing at Technical School of Nursing CTO
    2014 - 2015

  • Statistics at Federal University of Paraíba
    2016 - 2023

  • Git at Comunidade DS
    2/1/2023

  • Complete Docker from ZERO to Advanced 2023 at Udemy
    2/1/2023

  • Advanced Topics in Statistics and Data Science at Universidade Federal da Paraíba
    8/1/2020

  • Introduction to R Software at Universidade Federal da Paraíba
    8/1/2020

  • Artificial Intelligence for Everyone at Universidade Federal da Paraíba
    8/1/2020

  • Operating Systems at Cedaspy
    1/1/2016

  • Professional Document Production at Cedaspy
    1/1/2016

  • Financial Administration at Cedaspy
    1/1/2016

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