I turn messy data into sharp product decisions. I've spent the last 3+ years embedded in early-stage startups — owning analytics, shaping strategy, and helping teams build things that actually scale.

Currently contributing at DataZelt Solutions on MailStripper — taken from 0 to 5,000+ active user panels, within a $136B+ TAM.

Product Analytics      →   Funnels, cohorts, retention, activation, KPI dashboards
Growth & Onboarding    →   Drop-off diagnosis, A/B testing, user segmentation
Product Strategy       →   Roadmapping, PRDs, feature prioritization, OKRs
Market Intelligence    →   TAM/SAM/SOM sizing, competitive analysis, GTM execution
Cross-functional Work  →   Engineering, Design, Marketing — I speak all three languages

Analytics & Data SQL Google Analytics Mixpanel Amplitude Looker Studio Excel Google Sheets

Product & Strategy Product Roadmapping User Research A/B Testing Funnel Analysis PRDs Jobs-to-be-Done

Collaboration & Execution Notion Jira Figma Confluence Sprint Planning Stakeholder Management

Languages & Scripting Python (Pandas, NumPy) SQL Data Viz (Matplotlib, Seaborn)

MailStripper — 0 to 5K Users End-to-end product analytics from pre-launch to scale. Owned dashboards, retention loops, onboarding funnels, and data-backed prioritization.

Market Intelligence & TAM Analysis Sized a $136B+ TAM and structured 100K+ data points to support GTM planning and product positioning.

Onboarding Funnel Optimization Diagnosed drop-off points using event tracking + cohort analysis. Improved activation rates through validated A/B experiments.

• 📚 Pursuing my MBA — sharpening strategy, finance, and leadership skills
• 🔭 Deepening expertise in product-led growth and data storytelling
• 🌍 Actively open to remote product analytics roles — any timezone

"The best product decisions aren't made in boardrooms — they're made by people close enough to the data to feel the friction."