Data Science and Artificial Intelligence.
Main skills: ETL, Data Analytics, Machine Learning, and Web Development.
Connect with me on GitHub (camm93 ) and LinkedIn (Cristian Murillo).
Virtual Technology Store using a microservice architecture.
In this website, a potential customer can either register or log in, browse the website, look at the different product categories, get a detailed description of any product, and choose his or her favorite items to purchase.
Tech Stack: Python, Django, Django RestFramework, Java, SpringBoot, GraphQL, ApolloServer, HTML, CSS, VueJS.
🚀 End-to-End Machine Learning MLOps Project.
Implementation of a Machine Learning Operations (MLOps) pipeline by building and deploying a classifier to predict water quality as drinkable or not drinkable based on various water properties (e.g., pH, Turbidity, Chloramines).
Tech Stack: Python, Jupyter Notebooks, Sklearn, FastAPI, Docker, Render, GitHub Actions.
Data was provided by Kaggle and taken from the Lending Club. Data cleaning, feature selection, EDA, Modelling (Random Forest regressor and classifier) to estimate credit score and predict the outcome of future loans in terms of "Fully Paid or Charged Off".
Tech Stack: Python, Colab, Pandas, Dash, Sklearn.
Flight booking system using a monolithic architecture. Users can sign up, look for flights, book, update or remove them, and check both his account and reservation status.
Tech Stack: Python, Django, DRF, PostgreSQL, HTML, CSS, VueJS.
Web scraping, cleaning and analysis of data about properties on sale in Santander - Colombia.
Tech Stack: BeautifulSoup, Requests, Pandas, Seaborn, Matplotlib.
EDA of Covid19 in the world. Calculated Global and Per-Country trends including infection, death and vaccination counts.
Tech Stack: SQL Server, Excel, Tableau.