Giter Site home page Giter Site logo
Brandon Fernando Mazate photo

branmazate Goto Github PK

followers: 0.0 following: 0.0 repos: 6.0 gists: 0.0

Name: Brandon Fernando Mazate

Type: User

Bio: 🩺 MD Turned Data Scientist 📊 | Specializing in Health & Medical Data Analysis and Data Science | Bridging Healthcare and Technology

Twitter: Brandatascience

Location: Guatemala, Guatemala

Brandon Fernando Mazate

About Me

Hello! I'm Brandon Mazate, a medical professional with a strong fascination for the intersection of medicine and data science. My journey has taken me from the world of aesthetic medicine and hair transplantation to the exciting realm of data-driven healthcare solutions.

Passion for Data Science

My interest in data science stems from my belief that data has the potential to revolutionize healthcare. I'm deeply intrigued by the possibilities of leveraging data to improve patient outcomes, enhance medical research, and streamline healthcare processes.

Embracing the Data-Driven Approach

I am committed to exploring the vast potential of data science to address complex healthcare challenges. While my medical background equips me with a unique perspective, my ongoing data science journey enables me to blend the art of medicine with the precision of data analysis.

Let's Connect!

I'm always excited to connect with like-minded individuals who share a passion for both medicine and data science. Whether you're a fellow healthcare enthusiast or a data science enthusiast, let's collaborate, share insights, and explore the exciting possibilities at the intersection of our interests.

Feel free to reach out to me at [email protected]. Let's embark on this data-driven healthcare journey together!

My projects

Introduction to "Ten Year CHD Prediction" Project

Ten Year CHD project

In my "Ten Year CHD Prediction" project, I developed models to predict the 10-year risk of Coronary Heart Disease (CHD) in patients. The project encompassed data cleaning, exploratory analysis, feature engineering, and data visualization, with an emphasis on addressing data imbalance through SMOTE analysis. Various predictive models were tested to evaluate their effectiveness. While the initial accuracy was moderate, this project sets the stage for my subsequent "Tuning Project," where I aim to refine and enhance model performance, showcasing the iterative nature and improvement potential in data science.

Pubmed Scraper.

-- In progress.

Brandon Fernando Mazate's Projects

branmazate icon branmazate

Freelance data scientist | Healthcare provider | Hair and aesthetic medicine

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.