Built in a biomedical research setting, this workflow converted raw JSON outputs into standardized CSV tables for downstream analysis. The goal was to remove repetitive manual formatting steps and make recurring experiments easier to compare over time.

Beyond automation speedups, the project emphasized reproducibility. The same transformation logic was applied across datasets, reducing operator variance and making handoff between collaborators more reliable. The pipeline freed up lab time while improving consistency in data preparation.

Technologies: Python, JSON, CSV processing