Douglas Pizac's Projects
Predicting house prices to generate daily rates for Airbnb and estimate potential revenue.
Utilized SQL, Python and Tableau to analyze gameplay of one of Twitch's most popular streamers.
I created a function that takes in a student loan balance, monthly federal student loan payment, and federal interest rate as arguments. It then plots the differences in paying off federal student loans during the economic relief period due to coronavirus.
Built an R Shiny dashboard to display visualizations and findings from over 120,000 reservations at two Portugal hotels.
In this repo, my team and I will analyze a kaggle house price data set to come up with insights about the market and to predict future prices.
Using the scikit-learn machine learning library to predict housing prices in the Greater Seattle area.
This is the repository that contains the material of the live learning sessions of the NYC Data Science Academy Online Bootcamp.
As part of a Udemy course to first learn Python, I had to write code to create a tic-tac-toe game with a visual game board for players to see what moves have been made.
Plotting OpenTable data to analyze the change in reservations in different cities, states and countries as a result of COVID-19.
Web scraping with Selenium to obtain information on the top podcasts in the United States for Apple and Spotify.
For this project, I used web scraping to create a dataset of over 500 Yelp reviews for Vault Brewing Co: A popular brewpub in Bucks County, PA. With that dataset, I analyzed their number of reviews over time and established a relationship between how many reviews Vault gets per month and their average Yelp rating for that given month.