At GALERIA.ag, I developed and deployed incrementality and causal inference models for Google’s AI Assessments project, including MMM, CausalImpact, and Total Opportunity. I also architected a Google-funded causal measurement product to quantify media lift, response curves, and elasticity.
I supervised predictive pLTV model execution for the AI for Bidding pillar and engineered a custom data-driven attribution model. The work supported budget allocation and ROI optimization through campaign-level insights and predictive scenario simulation.
At GAIA, I developed a Creative Intelligence product to guide ad creation and worked on bringing AI into products. In data engineering roles, I integrated platform APIs and built data workflows across cloud environments, including AWS, GCP, Azure, and OCI.
At Data Machina, I led a Whirlpool data product rebuild that reduced processing time from more than 24 hours to less than one minute per partner. My neuroscience research at IB USP investigated active vision and analyzed neural activity alongside eye-tracking data using computational methods.
