As an intern at my first job a few years ago I basically did something like that.
We had a data hunting that would go out into supermarkets and collect data, but oftentimes with errors. Supervisors would sift through all of them and spend 4-5 hours a day removing/fixing/joining faulty entries.
I saw that, wrote two Python scripts to automate it (~2 weeks from start to deployment). All that workload automated immediately, and to my knowledge it's still in use today.
We had a data hunting that would go out into supermarkets and collect data, but oftentimes with errors. Supervisors would sift through all of them and spend 4-5 hours a day removing/fixing/joining faulty entries.
I saw that, wrote two Python scripts to automate it (~2 weeks from start to deployment). All that workload automated immediately, and to my knowledge it's still in use today.