Data stack & dbt DAG
Engineered a modular dbt architecture processing 45 million daily event logs with zero pipeline degradation.
Commercial outcome
Unlocked $1.4M in annualized marketing efficiency while establishing reproducible validation benchmarks for executive review.
Attribution model restructuring
Replaced legacy last-click tracking with a probabilistic Markov chain model to isolate true acquisition channels, reducing wasted programmatic spend by 34% within the first quarter.
Selected analytical interventions
Rigorous quantitative frameworks designed to eliminate ambiguity and direct capital allocation.
Retention inflection points
Warehouse cost reduction
Predictive LTV modeling
Restructured cohort analysis around user activation milestones, identifying a 4% retention drop before it compounded across enterprise accounts.
Audited Snowflake query execution plans and partitioned heavy fact tables, lowering monthly compute overhead by 42% without query latency penalties.
Built a Bayesian lifetime value model incorporating early engagement signals to forecast 12-month customer yield with 91% out-of-sample accuracy.
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Available for select advisory engagements and executive analytical leadership.