Here are a few of the many projects I've worked on that I am particularly proud of.
Photo by
Glenn Carstens-Peters
on
Unsplash
Task Tracker
A task tracking web application where users can log in and create a reminder for a task they want to
perform. They can classify their tasks by catergory, add a start and end time. If a user so desires, they
can update any task they want, and also delete a task when it is completed. Built with Boostrap 5, ASP.Net
6, Postgresql, Dapper ORM,and deployed on Heroku.
Photo by
Nicholas Cappello
on
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Phoenix Rent Predictor
This is a rent prediction web app, based on a machine learning algorithm I created using python and
SciKitLearn. The housing data was based on a Kaggle dataset that contained housing and apartment listings
from 2020. The average margin of error is from $108-$175 when this model was created in September of 2021.
This website was created using Python and the Flask framework, and was powered by the machine learning
model. More information can be found on the Github Repo.
Photo by
Austin Distel
on
Unsplash
Social Media Rest API
This is a social media REST API i built using Fast API. I have been comparing different ways to create
APIs, from C#, Node.js, and now Python. I really enjoyed working with FastAPI, and found the name of the
framework to be quite apt. It is extremely easy to get a fully fledged CRUD API up and running pretty
quickly. Technologies included in building this application was FastAPI, SQLAlchemy, Alembic, JWT Tokens,
PostgreSQL, Docker, and Heroku.
Appointment Scheduler
Created and implemented a Java based GUI appointment scheduler that allowed the user to login, create
customers and appointments saved to a persistent MySQL database. Appointment times would be displayed on
user’s local time zone and compared against business hours based in Eastern Time Zone. Application would
detect the user’s system default language and would translate the login screen into French or English if
necessary.