A data project always start with a data enginering step. You need to harvest data and store it in an adequate format to be able to use it.
I can help you to..
• Harvest data from different sources like APIs, SQL databases or messy Excel spreadsheets.
• Reformat and reshape data to make further analyses easier.
• Clean datasets removing outliers and abberant data.
• Create reproducible data preparation workflows.
• Automatize the creation of data related reports.