company names marked in yellow should NOT be changed as the entries are not consecutive

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I am looking for help in Python. I have table with 3 columns which contains the information about Person, companies he has worked for and Dates. I want to write a python program / algorithm to read the data from columns and do a match on the Company column with similar names and standardise it for each person, if they are present consecutively Only. And Also from the date column roughly find out from when to when the person was associated with that company. Attached the sample dataset for Reference. As per the requirement, the Companies marked in Blue should be converted into just "nourmand & associates-h" (company of minimum length) with fuzzy match since they are consecutively present and there is match in the names. Also the employment dates should be calculated. NOTE: The Company names marked in yellow should NOT be changed as the entries are not consecutive .

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