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Work Background
iFoodData Analyst II
Jun. 2024BrazilLed experimentation and retention targeting strategies while optimizing core data infrastructure for the growth team. • Led the experimentation strategy that reduced CAC by 15% while maintaining new user volume. • Conducted cohort analysis to restructure incentive spend, lifting retention rates by 24%. • Collaborated with stakeholders to build curated datasets, reducing query latency by 80% and significantly improving data accuracy and reliability. • Designed dashboards that cut ad hoc ticket volume by 41%, reclaiming time for strategic initiatives.
iFoodData Analyst
Dec. 2022 - Jun. 2024BrazilEstablished robust experimentation frameworks and predictive models to support decision-making for 20M+ users. • Developed ML models to optimize incentive spend for 20M+ users, increasing conversion rates by 23% in key segments and generating incremental net revenue. • Led the design of an A/B testing methodology that improved learning quality and reduced cycle time by 36%. • Built automated campaign budget monitoring that reduced incident resolution time by 55% and prevented accidental overspend. • Resolved misalignments between business pains and technical specs, reducing rework tickets by 46% and increasing data product adoption by 35%.
iFoodData & Analytics Intern
Mar. 2021 - Dec. 2022BrazilSupported the growth team with high-volume request management and demand planning tools. • Built predictive models to measure the influence of offline media (TV, radio) on consumer actions through time-series analysis. Achieving a 14% reduction in forecast error while improving the precision of media spend planning.
• Managed 40+ monthly requests with a 98% on-time completion rate, acting as the primary support point for the growth team. • Created comprehensive documentation for 25+ data products, streamlining onboarding and increasing adoption. • Developed heuristic analyses to identify promotional abuse among new customers.
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