Objective

Match companies between two datasets based on company names and locations, and produce a merged output.

Tech Stack

• Python
• pandas, numpy, matplotlib

Requirements

1. Match companies between Dataset 1 and Dataset 2 based on:
   • company name
   • location information
2. Create a merged dataset that:
   • contains all unique companies from Dataset 1
   • includes corresponding company matches from Dataset 2 where they exist
   • contains column with list of locations for company from Dataset 1
   • contains column with list of locations for company from Dataset 2
   • contains column with overlapping locations between two companies
   • if no locations overlap – keep company name match, and leave overlapping locations column empty
3. Calculate following metrics:
   • match rate: % of Dataset 1 companies that have a match in Dataset 2
   • unmatched records: % of companies with no match in either dataset
   • one-to-many matches: % of companies with multiple matched entries
   • other metrics you consider useful

Deliverables

1. Merged dataset (CSV)
2. Code scripts
3. Documentation:
   • matching approach
   • data quality issues found
   • normalization / transformations applied
   • calculated metrics

Documentation

• Data Cleaning
• Matching Algorithm & Metrics