About me

I'm a Data Scientist and Machine Learning Engineer from São Paulo, Brazil. My goal is to amplify the power of data to build predictive models that empower informed decision-making and provide solutions for complex challenges.

I have been an active member of the Data Science and Machine Learning community since late 2021, engaging on many competitions on Kaggle and delivering quality content on Medium for professionals and enthusiasts alike.

With experience in several frameworks and technologies pertinent to the field, my enthusiasm for learning continues to grow, and I'm always keen to collaborate with others in joint projects to harness the potential of data-driven solutions.

What I do

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    Data Analysis

    Extract insights through meticulous exploratory analysis and the employment of statistical techniques.

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    Machine Learning

    Build predictive models to contribute to data-driven decisions and solve complex problems.

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    Web Apps

    Design web applications to host and deploy ML models for practical utility of data-driven solutions.

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    Kaggle Competitor

    Engage in high-level competitions to sharpen skills and explore innovative data solutions.

Resume

Education

  1. Data Science & Artificial Intelligence

    PUCRS

    2022 — 2022

    Postgraduate Specialization.

  2. Financial Management

    FGV

    2020 — 2021

    Undergraduate Degree.

Experience

  1. Content Contributor

    Sabio Trade

    2024 — Present

    As a Content Contributor at Sabio Trade, I create content that delves into the world of finance, providing valuable insights into stock market trends, key companies, and actionable investment strategies. My main goal is to empower readers by equipping them with high-quality knowledge to make informed financial decisions.

  2. Content Creator - Data Science, Machine Learning, and Quantitative Finance

    Medium

    2023 — Present

    I'm a writer specializing in breaking down complex topics like Data Science, AI, and Quantitative Finance into simpler terms. My articles on Medium, featured in several publications like Artificial Intelligence in Plain English and InsiderFinance Wire, delve into explaining core concepts and teaching how to develop data and AI solutions. My dedication to high-quality content has earned me a following of over two thousand readers.

  3. Kaggle Master

    Kaggle

    2022 — Present

    I'm an active member of the Kaggle community, producing widely shared and highly upvoted notebooks like Data Science for Financial Markets, a beginner-friendly tutorial on leveraging Python for financial analysis. I'm also a recognized Datasets Expert and Notebooks Master, earned through my dedication to competitions, insightful forum contributions, and curating valuable datasets.

  4. Finance Analyst

    LR Torres

    2018 — Present

    I led the shift to data-driven decision-making in a family-owned occupational health and safety business, streamlining financial reporting, developing automated solutions, and improving administrative efficiency.

Certifications

  1. Microsoft Certified: Azure AI Engineer Associate

    Microsoft Azure

    2024

  2. CPA-20

    ANBIMA (Brazilian Financial and Capital Markets Association)

    2021

Courses

  1. Audio Course

    Huggingface.co

    2023

  2. NLP Course

    Huggingface.co

    2023

  3. Generative AI with Large Language Models

    Deeplearning.ai

    2023

  4. The Econometrics of Time Series Data

    Queen Mary University of London

    2023

  5. Computer Vision

    Kaggle

    2022

My skills

    Data Science and Analysis
    Data Cleaning • Data Preprocessing • Data Visualization • Exploratory Analysis • Extract, Transform, Load (ETL) • Hypothesis Testing • Inferential Statistics • Predictive Analysis • Quantitative Finance



    Machine Learning and AI
    Algorithms (CatBoost, Histogram-Based Gradient Boosting, SVM, XGBoost) • Audio Data Processing • Azure AI • Classification Models • Clustering Models • Computer Vision • Econometric Models • Evaluation Metrics (AUC-ROC, MAE, Precision, Recall, RMSE) • Feature Engineering • Feature Selection • Hyperparameter Tuning • Large Language Models (LLM) • Microsoft Azure • Natural Language Processing • Neural Networks • Time-series Forecasting



    Frameworks and Technologies
    AWS SageMaker • Docker • Diffusers • Git • Gradio • Hugging Face Spaces • Keras • LangChain • MySQL • NumPy • Optuna • Pandas • Plotly • PyCaret • PySpark • PyTorch • Python • SciPy • Scikit-learn • SQL • Statsmodels • Streamlit • TensorFlow • Transformers • YFinance



Portfolio

Blog