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bryanOsmar07/README.md

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Hi there 👋 Welcome to my GitHub profile. Dive into my projects, share your insights, and let's work together to push the boundaries of data science!

About Me

A passionate data scientist with expertise in predictive modeling, data processing, and data mining algorithms. Proficient in supervised and unsupervised learning, time series analysis (Prophet, ARIMA), and natural language processing. Committed to driving business value through data-driven decision-making and innovative machine learning solutions.

  • 👀 I'm passionate about Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
  • 🔭 I’m currently working on an ML model to estimate the regression betas for Client Rates based on DI rates and the financial spread for the bank's active and passive products.
  • 📫 Connect with me via LinkedIn or email: [email protected]

Skills

  • Programming Languages: Python, R, SQL
  • Machine Learning: Supervised Learning, Unsupervised Learning, Time Series Analysis (Prophet, ARIMA), NLP
  • Data Visualization: Matplotlib, Seaborn, Plotly, Power BI, MicroStrategy
  • Big Data Technologies: PySpark, Hadoop, Hive
  • Tools & Frameworks: Scikit-Learn, TensorFlow, Keras, Pandas, NumPy
  • Databases: MySQL, PostgreSQL, MongoDB

DS Portfolio

  • Regression
  • Classification
  • Clustering
  • Dimensionality Reduction
  • Time Series Forecasting
  • System Recommendation
  • NLP

ML Projects

  • employee_retention_classification
  • gemstone_price_regression
  • student_performance_regression

Contact Me

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  1. personal-projects-portafolio personal-projects-portafolio Public

    Portafolio of data science / data analyst projects. Using: Python, PySpark, Tensorflow, Scikitlearn, Keras. Includes Classification, Regression, Clustering, Recommendation Systems, Time series, NLP…

    Jupyter Notebook

  2. student_performance_regression student_performance_regression Public

    Regression Model. This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparat…

    Jupyter Notebook

  3. gemstone_price_regression gemstone_price_regression Public

    Regression Model. The goal is to predict price of given diamond

    Jupyter Notebook

  4. employee_retention_classification employee_retention_classification Public

    Classification ModelThe goal of the project is to develop a model to predict employee retention

    Jupyter Notebook

  5. Data_Repository Data_Repository Public

    In this repository, I will collect all the datasets used in the ML Notebooks

  6. ML-Journey ML-Journey Public

    This repo will contain theory and practical examples of Machine Learning

    Jupyter Notebook