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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO
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l-aldarondo/README.md

Hi, I'm Leonardo 👋

Leonardo Aldarondo, OD

Data Scientist and Regulatory Affairs Professional

I’m a Data Scientist currently working in Regulatory Affairs Data Analytics and Visualization projects. I have a diversified experience in Data Science, Quality Assurance, Regulatory Affairs and Clinical Research. Known as a Team-oriented individual and innovative problem solver.

Technical Skills

  • Programming Language: Python, Pandas, R, JavaScript, HTML, CSS, JSON, Leaflet, GeoJSON, VBA
  • Databases: SQL and NoSQL databases, PostgreSQL, MongoDB
  • IDE: RStudio, VS Code, Jupyter Notebook, JupyterLab, Google Colab
  • Visualization: Tableau, Power BI, Matplotlib, Seaborn, GG Plot, Plotly, D3.js, API Interactions and web visualization
  • Big Data: AWS, Azure, Hadoop, Spark, Cloud computing
  • Machine Learning: Random Forests, k-Nearest Neighbors (kNN), Support Vector Machines (SVM), Logistic Regression, Deep Learning, Dimensionality Reduction, Scikit-learn, Tensorflow Keras, NLP, SAS

UCF Data Boot Camp (Data Analytics & Visualization)

Awarded: Jan 10, 2023

Awarded To: Leonardo Aldarondo

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Pinned

  1. Sports-Predictions Sports-Predictions Public

    A machine learning framework for sport result prediction

    Jupyter Notebook 4

  2. Neural_Network_Charity_Analysis Neural_Network_Charity_Analysis Public

    Neural Networks and Deep Learning Models

    Jupyter Notebook

  3. Cryptocurrencies Cryptocurrencies Public

    Using Unsupervised Machine Learning to Discover Unknown Patterns

    Jupyter Notebook

  4. Credit_Risk_Analysis Credit_Risk_Analysis Public

    Using Supervise Machine Learning to Predict Credit Risk

    Jupyter Notebook

  5. bikesharing bikesharing Public

    Using Tableau to create worksheets, dashboards, and stories to visualize data.

    Jupyter Notebook

  6. Amazon_Vine_Analysis Amazon_Vine_Analysis Public

    Using PySpark to perform the ETL process, connect to AWS RDS instance and load transformed data into pgAdmin

    Jupyter Notebook