Romaine Etienne

I’m a Data Analyst with 4 years of hands-on experience cleaning, automating, and visualizing large datasets for a UK-based information technology advertising business. I combine technical precision with practical problem-solving to build efficient workflows and uncover actionable insights.

At 59A Ltd., I improved data accuracy and consistency across national, regional, and ZIP-code-level datasets by building and owning end-to-end data cleaning and structuring pipelines in Python and SQL. I also reduced pipeline execution time by 50–75%, redesigning workflow architecture and eliminating redundant processing steps.

I built reporting workflows the BI team runs daily, enabling faster strategic decisions for market expansion. By translating demographic, geographic, and retail datasets into PowerPoint slides for non-technical stakeholders, I helped teams act on insights quickly.

I conduct geospatial and predictive analyses to identify statistically significant patterns in consumer behavior across 10+ regional markets. I strengthen data integrity through standardized collection and validation procedures, which reduced discrepancies flagged in quality reviews by an estimated 40%.