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Data Processing
Lead Gen Data Pipeline
A market center had 3,400+ leads sitting in spreadsheets across three years of export files: inconsistent formats, duplicate phone numbers, agents who had left the brokerage, leads attributed to teams that had reorganized. The pipeline cleaned, deduped, and reconciled it all against the current active roster, producing a CRM-ready import that was actually actionable.
- Role
- Engineer.
- Year
- 2024
- Stack
- Python·Pandas·CSV Processing·Data Cleaning
Outcomes.
- 3,400+ historical lead records cleaned and reconciled.
- Duplicates collapsed, departed agents reassigned.
- CRM-ready output: lead-to-active-agent assignment in one import.
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