Keep data science contact fields clean and standardized

Data scientists get messy contact fields from forms, causing malformed names and broken joins. Standardized split names, normalized platform values, and formatted timestamps ensure reliable pipelines.

Overview

Messy form contact fields create malformed records and break data joins, delaying insights and engineering work. This workflow standardizes names, platform labels, and timestamps at ingestion so pipelines and dashboards remain reliable, and teams report fewer data errors during analysis.

Notable Features

Split full names into fields
Normalize platform values across submissions
Format timestamps for downstream pipelines