Josh Grasso's repositories

NYC_Residential_Real_Estate

Buying a home in NYC, what Neighborhoods are the best value? This project seeks to understand the fundamental factors that explain differences in residential real estate prices across NYC.

Language:Jupyter NotebookLicense:MITStargazers:3Issues:1Issues:0

BFAM_Google_Maps_Analysis

The aim of this project is to provide real-time insight into the post-COVID re-opening of Bright Horizons' network of daycare centers by leveraging the Google Maps API. These insights include two main parameters: the number of locations that have been "permanently closed" - informing forecasts of BFAM's revenue returning to pre-COVID levels - and the number of locations that are "operational" as compared to "temoporarily closed" - informing near-term (current quarter and +1 quarter) financial forecasts. These insights lower risk/uncertainty regarding the current status of the business, regardless of opinion of the future trajectory of a re-opening.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

Fourth_Turning

The Fourth Turning What the Cycles of History Tell Us About America's Next Rendezvous with Destiny by William Strauss and Neil Howe “Every Fourth Turning since the fifteenth century has culminated in total war… America’s old civic order will seem ruined beyond repair...The very survival of the nation will feel at stake. Sometime before the year 2025.” That statement, which seems to understand the trajectory of current events in 2020 and 2021 so well, is a prediction that was actually published in 1997 – more than 20 years ago. Authors William Strauss and Neil Howe are widely credited with naming the Millennial generation. They are foremost experts and researchers on Generational identities, and have advanced a compelling theory of American history. In one sentence, the theory is that American history has exhibited a cycle, or seasonality, that is intertwined with the lifecycles of the changing generations as they move throughout time. A life, and a Generation lasts ~80-years, so too does the cycle of American history. The authors published historical precedents, and a sobering prediction, for the Crisis we are navigating today. This project seeks to re-tell the story of William Strauss and Neil Howe’s cycles of American history through data. The data used in this analysis organizes America’s political leadership through their generational identities and retelling America’s economic trajectory through the lens of Turnings (seasons). The Fourth Turning narrative is incredibly compelling, with anecdotes and facts that help organize the 10,000ft view presented to us. However, I want to visualize their story through time: What did the prior cycles really look like, and where does that put us today?

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

US_Auto_Retail_Advertising

Auto Retail: How are iBuyers Affecting the Market? Applying Data Science Tools to Understanding Changes in the U.S. Auto Retail & Advertising Market Josh Grasso | joshgrasso@gmail.com This project seeks to provide a framework with which to answer questions that center around the key debate in the U.S. Auto Retail and Auto Advertising markets: how is the market changing with the presence of new-entrants. The data used in this analysis is produced internally through web scraping of auto inventory marketplaces: Cars.com and TrueCar as well as traditional, publicly listed dealer networks: Sonic and Lithia. The two main questions answered in this analysis are: Are the new-entrants into auto retailing (the iBuyers) increasing the market size of auto advertising? Are dealer inventory volumes and/or advertising intensity changing (declining) due to the new-entrant?

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0