Data preparation/cleaning is almost 90-95% of any data science job. Several tools, such as Google Data Studio, Alteryx, Tableau, Qlik are being used in addition to dozens of popular libraries in Python and R for data cleaning and preparation which consumes the majority of bandwidth of a data science team. Although cleaning & preparation constitutes 90-95% of the project effort, it is squarely a horizontal operation that does not add to any intellectual property generation. It can be done by anyone experienced in the field.

Datacleaning for AIML offers hundreds of highly experienced part-time and full time team who are expert in all kinds of data cleaning/data preparation. contract employees are available at hourly/monthly rate as well as against a “fixed price” project. DatacleaningforAIML has permanent employees as well as consultants on payroll to meet the exact demand in the quickest possible time.