Global Education Insights, a mock company that we work for, had recently acquired the PISA 2018 dataset, a comprehensive survey of student performance in various countries.
This dataset contained a wealth of information that could help GEI understand the factors that contribute to student success and identify areas where education systems can be improved.
However, the dataset was large and complex, making it difficult for GEI's team to extract meaningful insights from it.
That's where we came in.
Our task was to leverage our data engineering skills to analyze the PISA 2018 dataset and develop a functioning dashboard that GEI could use to easily visualise and interpret the data.
This dashboard would be a critical tool for GEI, helping them to make data-driven decisions and recommendations.
The project was carried out in a distributed environment in the Cloud, which
will allow for efficient data processing and collaboration among team members.
The tools stack for this project: Python, SQL, Apache Airflow, AWS EC2, AWS RDS, Flask, Git.
