🚀 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.
- Brazil and United States
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Project_React-2
Project_React-2 PublicMy To-Do is implemented using React.js, Javascript, HTML, CSS, and hosted on GitHub pages.
JavaScript
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covid-19-ensemble
covid-19-ensemble PublicWork 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
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Stonks-Predictor
Stonks-Predictor PublicForked from jrbjrb1212/Stonks-Predictor
WSB Data Analysis and Prediction
Jupyter Notebook
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u-delivery
u-delivery PublicDeveloped a peer‐to‐peer on‐campus food delivery service using Node.js, Express.js, React, and MongoDB.
JavaScript
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travel-planner
travel-planner PublicDeveloped 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
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