Noah Kim

• Built 12 Tableau dashboards tracking revenue, retention, and support KPIs used in weekly leadership reviews. • Wrote optimized SQL and Python data-quality checks across 1M+ records, reducing recurring reporting errors by 30%. • Partnered with operations and product teams on A/B tests; translated findings into recommendations that improved onboarding conversion by 8%.

• Cleaned and joined claims, appointment, and patient-experience datasets with SQL and Python for monthly performance reporting. • Automated Excel and Tableau reporting workflows, saving analysts 6 hours per month and improving refresh consistency. • Investigated funnel drop-offs and presented concise insights to program managers and clinical operations partners.

• Analyzed survey and experimental data in Python and R for a behavioral-science research lab, documenting reproducible methods. • Designed data dictionaries and quality checks for 20+ study variables, improving handoff accuracy for graduate researchers. • Summarized findings in clear charts and presentations for faculty meetings and undergraduate research showcases.

• Concentration in Applied Statistics; coursework in regression, experimental design, data mining, and probability. • Relevant projects: built a Tableau public-health dashboard and evaluated an A/B test using Python.