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💫 About Me:

🚀 I’m currently working on synthesizing internal metrics and external market trends at Pennybacker Capital to enhance investment profitability through predictive modeling.

🌟 I’m looking to collaborate on advanced machine learning projects and data science initiatives that drive meaningful insights and impactful business outcomes.

📚 I'm currently learning: Advanced applications of Large Language Models and the optimization of vector databases for high-dimensional data management.

🔎 Ask me about deep learning applications in speech recognition and face verification.

🌟 Fun fact: My all-time favorite sports anime is "Kuroko's Basketball."

🌐 Socials:

LinkedIn

💻 Tech Stack:

AWS Python Azure Pandas Arduino Postman Trello Docker PyTorch Scipy Plotly TensorFlow NumPy mlflow Matplotlib MySQL MongoDB Postgres SQLite Flask Jinja NodeJS Apache Spark Django Anaconda JavaScript HTML5 CSS3

📊 GitHub Stats:



✍️ Random Dev Quote

😂 Random Dev Meme

Brice M. Muvunyi's Projects

apprary icon apprary

An express "Library management" web app

cheatsheet-js icon cheatsheet-js

A super condensed JavaScript reference for Watch and Code students.

cmu-idl-projects icon cmu-idl-projects

This is a repo of projects done in Carnegie Mellon's 11-785 Introduction to Deep Learning Class

dotnetkoans icon dotnetkoans

A set of Koans to teach the DotNet language. Based off of EdgeCase's RubyKoans

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

loan-prediction icon loan-prediction

A project on typical machine learning workflow - from EDA to insights (R)

nodejs_crud icon nodejs_crud

A simple NodeJS app using template engine Handlebars to create, list, update and delete a list of employees

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