Hospital Price Data Normalization
Budget: $250 – $750 USD
I'm seeking a skilled developer to assist with parsing and normalizing hospital price transparency data. The project involves handling a massive dataset of 360 million rows, primarily from hospital websites and third-party healthcare providers.
Key Tasks:
- Discovery: Gather service price records from hospital websites and third-party healthcare providers using web scraping or other efficient methods.
- Data Normalization: Normalize this data into an Excel format without a universal key. You may use descriptions to match and infer data points.
- Storage: Build backend and connect to frontend for data storage
Ideal Skills & Experience:
- Experience with healthcare data.
- Proficient in data processing and normalization techniques.
- Strong background in data analysis.
- Web scraping expertise.
- Familiarity with backend development.
If you're passionate about improving healthcare transparency and have the right skill set, I'd love to hear from you!
Key Tasks:
- Discovery: Gather service price records from hospital websites and third-party healthcare providers using web scraping or other efficient methods.
- Data Normalization: Normalize this data into an Excel format without a universal key. You may use descriptions to match and infer data points.
- Storage: Build backend and connect to frontend for data storage
Ideal Skills & Experience:
- Experience with healthcare data.
- Proficient in data processing and normalization techniques.
- Strong background in data analysis.
- Web scraping expertise.
- Familiarity with backend development.
If you're passionate about improving healthcare transparency and have the right skill set, I'd love to hear from you!