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Hello there 👋🏽

Welcome to my Github 🙂

My name is Christian Lopez 👨🏽. Currently residing in Las Vegas, Nevada 🎰. Majored in Cognitive Neuroscience with a minor in Psychology 🧠 at the University of California - San Diego 🏄🏽‍♂️. Over the past year I have embarked on a journey 🛣 to pursue my interest in Data Science 👨🏽‍💻 and have been thoroughly enjoying the learning process. I'm constantly working on personal projects 📊 during my free time and dabbling in cloud computing ☁️ with AWS and GCP.

Feel free to reach out or visit my blog at https://lopez-christian.github.io/

Oh, and I also love anything soccer-related and sports in general. So, lets talk some futbol ⚽️.

Christian Lopez 's Projects

building-a-data-science-web-app icon building-a-data-science-web-app

Used Python and Streamlit to build a beautiful and interactive web app. Loaded, explored, visualized and interacted with data, and generated dashboards in less than 100 lines of Python code!

chest-x-ray-deep-learning-project icon chest-x-ray-deep-learning-project

This repository includes my Chest X-Ray Deep Learning-Flatiron School Module 4 Project. For this project, I made use of OS to access the data. The Pandas, NumPy, Matplotlib, Seaborn, and Plotly libraries were used to explore the data. Keras was used to build the image classifier.

covid-19-pytorch-image-classifier icon covid-19-pytorch-image-classifier

This repository includes my COVID-19 PyTorch Image Classifier-Flatiron School Capstone Project. I used a resnet-18 model and trained it on the COVID-19 Radiography Dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized into three classes - Normal, Viral Pneumonia, and COVID-19. The objective of this project was to create an image classification model that could accurately predict and classify the Chest X-Ray scans.

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