Skip to content
View RanieryMendes's full-sized avatar
💭
Looking For Job
💭
Looking For Job
  • Brazil and United States

Block or report RanieryMendes

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RanieryMendes/README.md

👨‍💻 Raniery Mendes

LinkedIn Email

🚀 Raniery Mendes is a data-driven and quick-learning Computer Scientist with expertise in Python, SQL, HTML/CSS, JavaScript, Java, and advanced machine learning models like reinforcement learning. He has experience as a Teaching Assistant and Graduate Research Assistant at Wake Forest University, where he designed and implemented an advanced deep hierarchical reinforcement learning model and led teams in research projects. Mendes has also demonstrated leadership through roles like Co-Mentor for the LEAP program and Hackathon Director for WakeHacks 2023, showcasing his ability to mentor students, manage sponsors, and promote outreach.

💻 Tech Stack

Java Python React TypeScript PyTorch Keras SQL

📈 GitHub Stats

Raniery's GitHub stats

Pinned Loading

  1. Project_React-2 Project_React-2 Public

    My To-Do is implemented using React.js, Javascript, HTML, CSS, and hosted on GitHub pages.

    JavaScript

  2. covid-19-ensemble covid-19-ensemble Public

    Work developed by Raniery Mendes and Ash Rai in CSC 674: Machine Learning. In this work, we perform an exploratory analysis on the Covid-19 cases in Mexico. We also develop a decision tree and rand…

    Jupyter Notebook

  3. Stonks-Predictor Stonks-Predictor Public

    Forked from jrbjrb1212/Stonks-Predictor

    WSB Data Analysis and Prediction

    Jupyter Notebook

  4. u-delivery u-delivery Public

    Developed a peer‐to‐peer on‐campus food delivery service using Node.js, Express.js, React, and MongoDB.

    JavaScript

  5. travel-planner travel-planner Public

    Developed a RESTful API using Flask, SQLite3, and DBeaver for database management. Integrated an email sender and implemented unit tests with Insomnia and pytest to ensure functionality and reliabi…

    Python

  6. movie-matcher movie-matcher Public

    Python