Staff data scientist with 9 years across experimentation, forecasting, causal inference, and product analytics. Partnered with product, finance, and engineering leaders to turn ambiguous growth and retention questions into decision systems used across a $120M recurring revenue business.

B2B SaaS Company

Designed retention risk model combining product usage, support sentiment, and contract history, enabling customer teams to prioritize $18M ARR and improving save rate by 11 points.

Led experimentation framework for pricing and packaging tests across 42,000 accounts, replacing ad hoc analysis with pre-registered metrics and guardrail reporting.

Built causal impact workflow to separate seasonality from campaign lift, preventing $1.6M in annualized spend from being scaled on misleading attribution.

Mentored 6 analysts and data scientists on metric design, model review, and stakeholder storytelling, raising the quality bar for decision memos across 4 product areas.

Marketplace Company

Created demand forecasting models for supply planning across 19 regions, reducing stockout risk by 14% while keeping operations teams in a simple weekly review loop.

Partnered with engineering to productionize feature pipelines and drift monitoring for a recommendation model serving 3M monthly sessions.

Reframed marketplace health metrics from aggregate conversion to supply-demand balance by region, helping leadership identify 5 markets where incentives were masking poor retention.

Experiment Review Playbook

Authored internal guide covering sample-ratio mismatch, novelty effects, guardrail metrics, and launch-readiness decisions; adopted by 11 product squads.

Forecast Model Monitoring System

Defined drift checks, backtesting cadence, and business-owner review thresholds for weekly forecasts used by finance, operations, and marketplace teams.

Senior product manager with 7 years across B2B SaaS onboarding, workflow automation, and pricing. Led cross-functional teams from discovery through launch, improving activation, retention, and expansion revenue across enterprise accounts.

B2B SaaS Company

Led onboarding product area for 34,000 accounts, increasing week-4 activation from 48% to 63% through guided setup, lifecycle triggers, and clearer success milestones.

Prioritized workflow automation roadmap by combining support ticket themes, revenue exposure, and engineering complexity, retiring 6 low-value requests and accelerating 3 enterprise blockers.

Launched usage-based packaging pilot with finance, sales, and engineering, producing 14% higher expansion pipeline in the first two quarters.

Built monthly product review with adoption, retention, and quality metrics, replacing opinion-led roadmap debates with a shared decision framework.

Workflow Software Company

Shipped admin analytics dashboard used by 2,300 customers to identify underused workflows, contributing to a 9-point lift in renewal health scores.

Conducted 52 customer interviews and converted workflow pain points into a roadmap that reduced setup time by 28%.

Activation Experiment System

Defined experiment intake, guardrail metrics, and launch-readiness reviews for activation tests, helping product squads stop underpowered tests earlier.

Pricing Migration Plan

Created customer segmentation, grandfathering rules, and sales enablement notes for a packaging change affecting 1,100 renewing accounts.

Data analyst with 4 years turning messy operational and customer data into SQL models, dashboards, and recurring decision reports. Strong in stakeholder intake, metric definitions, and clear recommendations for non-technical teams.

Operations Technology Company

Rebuilt weekly revenue dashboard from manual spreadsheets into governed SQL tables and Tableau views, cutting reporting time from 6 hours to 45 minutes.

Defined activation, retention, and support-response KPIs with product and customer teams, resolving metric conflicts that had produced three competing executive reports.

Identified workflow bottleneck affecting 18% of enterprise onboarding tasks and recommended routing changes that reduced median completion time by 2.4 days.

Regional Services Company

Analyzed staffing, volume, and SLA data across 12 locations to create weekly coverage forecast used by field managers.

Audited 220,000 transaction records for duplicate and missing values, improving billing accuracy before month-end close.

Customer Retention Cohort Analysis

Built SQL cohort model and dashboard showing retention by acquisition channel, plan type, and onboarding completion; surfaced a 9-point gap tied to setup delays.

Data Quality Rules Library

Defined validation checks for duplicate accounts, missing owner fields, and stale lifecycle stages, reducing recurring manual cleanup before monthly reporting.

Continuing coursework: intermediate SQL, dashboard design, and statistics for business decisions