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Segun User

@segunuser1

Healthcare data analyst working with claims data in self-directed ETL projects, translating 837 EDI-style feeds into canonical schemas.

United Kingdom

Message

In my self-directed data analysis practice, I transform claims-style feeds into canonical schemas using PySpark on Databricks, applying ICD-10, CPT and HCPCS coding. This work reduced downstream mapping errors by 45%.

I built Spark SQL and SQL validation checks that improved record-level quality to 99% across test datasets and cut manual validation time by 50%. I’ve also prototyped AI-assisted mapping workflows and claims payment integrity analyses.

Experience

Work history, roles, and key accomplishments

Current

Data Analysis and Entry Practice

Current

Self-Directed

Jan 2023 - Present (3 years 9 months)

Designed and implemented ETL transforms to normalise raw claims-style feeds into a canonical schema using PySpark on Databricks, reducing downstream mapping errors by 45%. Built end-to-end pipeline validation using Spark SQL and SQL unit tests, cutting manual validation time by 50% and improving record-level quality to 99%.