• Using Entity Resolution to de-duplicate event check-in data, match records from one deduplicated data store to another through record linkage and match noisy records to clean ones in a deduplicated reference table in R and Python.

• Enriching the deduplicated dataset by merging additional demographic fields to analyze loyalty, retention, timing and the geographic makeup of key audience through machine mining algorithms in R and recommend actions to drive desired outcomes.