xiaojie-qian/ws_real_estate_data_analytics

Watershed Property Management, Inc. Watershed is responsible for managing thousands of residential rental properties throughout the United States. The target of this project is to persuade Watershed’s management team to pursue a new strategy for managing its properties that will increase their profits.

Real_Estate_Data_Analytics

1. Watershed Property Management, Inc. Watershed is responsible for managing thousands of residential rental properties throughout the United States.
2. The target of this project is to persuade Watershed’s management team to pursue a new strategy for managing its properties that will increase their profits.

Description of the project

• Watershed Properties is a residential property management company. We manage several thousand properties in more than 60 different neighborhoods around the United States.
• Watershed currently has a time-sensitive opportunity to explore the short-term rental market with one of its top property owners?
• Watershed wants to know:
  1. calculate how much it would cost to convert and maintain each of this client’s properties as a short-term rental.
  2. determine the nightly rental price that would maximize the profits from each of these properties, if they were converted to short-term rentals.
  3. calculate which properties would have increased profits as short-term rentals.
  4. determine how profitable, overall, it would be if Watershed converted some of this client's properties into short-term rentals.
  5. need to determine how much cash Watershed would need in order to realize any potential profits from converting the properties.

Database description

1. the current monthly rent Watershed charges for all of their client’s 244 properties, as well as the property type and geographic location of those properties.
2. some general information about examples of short-term rental properties. This information can be used to get a sense of what kind of nightly rental price Watershed’s client’s properties could be listed for, if they were converted to short-term rentals.
3. records about when those short-term rental properties were rented out, so that you can calculate their occupancy rates.

Dashboard for analysis use

🔗 (Interactive Dashboard) : https://xiaojie-qian.github.io/WS_Real_Estate_Data_Analytics/