Data Solutions Architect &
Technical Consultant

Led the product build of an in-house GEO measurement product, combining live search outputs from five AI platforms with LLM evaluation. The system parses brand citations, sentiment, and URLs into a BI-ready BigQuery model for share-of-voice tracking across queries, locations, and competitors.

Built Robyn-based MMM pipelines to quantify ROI and optimize multi-channel media spend. Automated data preparation in BigQuery and delivered dashboards for scenario planning, budget simulation, and executive decision-making.

Led the build of a GCP-based conversational analytics product that lets end users ask questions of their own data in natural language. The system translates business questions into governed analytical workflows, connects to BigQuery, and returns clear answers grounded in trusted data models.

Designed a BigQuery-first measurement layer unifying paid media platforms, GA4, and conversion data into consistent ROAS, CPA, and KPI models. Standardized event taxonomies, tracking plans, and automated reporting logic across Google, Meta, Microsoft, LinkedIn, TikTok, and other acquisition channels.

Built customer 360 models by integrating web behavior, backend events, CRM records, consent data, and marketing touchpoints into a unified customer view. These models helped teams segment audiences, personalize campaigns, and activate customer insights across marketing channels.

Engineered batch attribution and uplift logic linking retail media banner impressions to add-to-basket conversions. Delivered Power BI reporting and dbt standards that improved transparency while reducing query costs.

Designed a multi-agent LLM platform with LangChain and LangGraph to automate SEO research and client-specific tone-of-voice generation. Deployed Cloud Run microservices with Terraform and CI/CD, reducing manual research time by up to 80%.

Led first-party pixel tracking and a search-synergy dashboard that aligned SEO and SEA budgets around registration funnel performance, conversion ratios, and cross-channel growth opportunities.

Automated Keyword Planner extraction for category search trends and competitor monitoring, then added a data-layer health monitor to catch broken GTM and GA4 events in real time.

Developed Buy-Till-You-Die CLV models to forecast customer value and guide retention campaigns. Containerized the pipelines for repeatable training, monitoring, and deployment across markets.

Built a multi-source performance dashboard spanning SEO, SEA, social, and offline feeds, translating spend into ROAS and cost-per-lead views for cross-channel budget decisions.

Delivered AWS-based data pipelines connecting CRM and campaign data through Glue, Lambda, and Redshift for reliable, low-latency marketing reporting.

Automated competitor trend monitoring with Python and Cloud Functions, turning Google Trends data into recurring Looker Studio reporting on relative brand performance over time.

Designed and implemented GA4/GTM tagging plans, Google and Meta ad integrations, and event taxonomies to create a reliable measurement foundation across platforms.

Built uplift models and keyword connector pipelines to surface high-value search opportunities and keep competitive reporting current in BigQuery.

Toast Club

Founder / Product Builder

Founded Toast Club, a wine discovery product built around tasting memory, exploration, and context. The product combines structured wine data, taste profiles, visual records, and discovery workflows on a modern cloud stack.

Founded Somm Works as my freelance operation for helping companies design and build data infrastructure, analytics workflows, AI automation, and marketing measurement systems from strategy to production.