Maven Parental Leave Challenge
About this project
The project involved analyzing crowdsourced parental leave data from 1,601 companies across different industries, including paid and unpaid maternity and paternity leave weeks. The data was originally contained within a single table in CSV format, consisting of 6 fields and 1601 records. To ensure the accuracy and consistency of the data, provided data dictionary was used to guide the overall analysis.
The data was processed using Databricks Medallion Architecture in PostgreSQL to manage and transform the data into a structured format. Finally, a data visualization presentation was created in Tableau to showcase the key insights and trends identified from the data. The project provides valuable insights into the state of parental leave policies in the United States, highlighting opportunities for improvement.
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