I turn data into
pipeline and
decisions.
GTM analytics professional with 8+ years in B2B SaaS. I build signal-based outbound pipelines, funnel instrumentation, and LLM-powered content systems. Technical fluency in n8n, Clay, Claude Code, Codex, Antigravity, and Python.
GTM meets technical depth
I build pipeline systems and write the narratives that move them. Most people do one. I do both.
8 years across growth-stage B2B SaaS. Equal parts GTM engineer and product marketer. I've shipped positioning, built automation pipelines, run experimentation programs, and delivered dashboards that changed how leadership makes decisions.
Now I build with AI. ICP scoring engines, LLM content pipelines, signal-based outbound. Fast, technical, and tied to revenue.
Stack: SQL · Python · Databricks · n8n · Clay · Claude Code · Tableau · Power BI
Marketing Analytics · BI · Growth
Where I've built
- Built Power BI dashboards surfacing conversion and reliability signals. ↑ 40% faster decisions
- Produced conversion-focused one-pagers for 3 platform capabilities, used by leadership in budget reviews and sales presentations.
- Automated recurring reporting pipelines using Python and Excel for consistent GTM performance tracking.
- Designed GTM frameworks translating platform metrics into pipeline-ready narratives for revenue and leadership teams.
- Designed GTM frameworks translating platform metrics into pipeline-ready narratives for revenue and leadership teams
- Built GTM analytics infrastructure tracking acquisition, activation, and conversion signals across digital product funnels for B2B SaaS platforms.
- Developed competitive positioning frameworks and battlecards for 3 SaaS clients — supporting outbound campaigns and sales pitch decks.
- Delivered self-serve Tableau dashboards. ↓ 35% ad-hoc requests
- Ran A/B experimentation programs across onboarding and engagement features — translating results into GTM launch recommendations.
- Developed MQL enrichment and routing pipelines that achieved 15% lift in MQL-to-SQL conversion rates.
- Identified 3 high-drop-off funnel stages via cohort analysis → 5 UX changes shipped in 8 weeks. ↓ 18% checkout abandonment
- Built real-time funnel analytics pipelines using Snowflake and Tableau to monitor user journeys and surface conversion opportunities.
- Developed reusable KPI frameworks enabling consistent product performance analysis across marketing and leadership.
- Migrated legacy reporting systems to Snowflake — creating centralized product metrics infrastructure.
- Defined core product KPIs and standardized analytics layers across Tableau dashboards.
- Built Python forecasting models for leadership-level product performance trend analysis.
- Partnered with founders to translate 30+ A/B tests into 4 shipped product changes and a repositioned onboarding narrative. ↓ 20% time-to-first-value
- Built early product dashboards tracking activation, retention, and monetization metrics to support product launches.
Things I've shipped
End-to-end content automation system generating, evaluating, and optimizing AI-assisted sales and marketing assets at scale.
- Built automated outbound pipeline using n8n, Claude Code, and Codex to generate and optimize content at scale.
- Implemented semantic similarity scoring and keyword coverage analysis — measuring content-buyer fit before and after optimization.
- Automated pipeline converting structured product data into ATS-optimized, conversion-ready outputs across launch cycles.
ICP enrichment and buyer signal pipeline that prioritizes outbound targeting across developer-facing product channels and partner ecosystems.
- Built intelligence pipeline using Clay and n8n to enrich ICP account data and surface buyer signals for outbound prioritization.
- Automated AARRR funnel tracking and attribution reporting via n8n — reducing manual dashboard cycles.
- Aligned enriched account signals with product adoption metrics to prioritize high-impact experiments over vanity reporting.
Full-stack growth analytics framework tracking AARRR metrics, funnel conversion, and marketing attribution across product channels.
- Built framework tracking AARRR metrics, funnel conversion, and marketing attribution across product channels.
- Developed cohort retention and KPI reporting models with lifecycle analysis and improved growth trend visibility.
- Aligned product metrics with GTM questions — prioritizing experiments and growth initiatives over vanity reporting.
Full toolkit
Let's talk
Open to GTM Engineer, PMM, Growth, Marketing Analytics, and BI roles in SF, NY, Dallas or remote. If your team needs someone who can build the pipeline and tell the story — reach out.