Home How I Help

Data-Informed
Decisions

Analytics pipelines, cohorted LTV modeling, and standardized reporting across portfolios. Turn data into actionable product insights.

B+
Events
processed
50+
Apps
instrumented
3
Analytics platforms
built in-house

Analytics Capabilities

From event tracking to predictive models, I build the data infrastructure that powers informed product decisions.

Product Analytics

Event Tracking User Journeys Funnel Analysis Retention Curves Feature Adoption Session Recording

Revenue Analytics

Cohorted LTV MRR/ARR Tracking Churn Analysis Revenue Attribution Predictive LTV Subscription Metrics

Experimentation

A/B Testing Multivariate Tests Feature Flags Holdout Groups Statistical Analysis Rollout Management

Data Infrastructure

ETL Pipelines Data Warehousing Real-time Streaming Data Quality Schema Management Event Validation

Tools & Platforms

Modern data stack built for scale. I've implemented and integrated the leading analytics and data platforms.

Analytics Platforms

Amplitude Mixpanel Firebase Analytics PostHog Custom Solutions

Data Storage & Processing

BigQuery ClickHouse PostgreSQL Redshift Snowflake dbt

BI & Visualization

Looker Metabase Tableau Superset Data Studio Custom Dashboards

My Approach

01

Questions Before Metrics

Start with business questions, not dashboards. What decisions will this data inform? Build backwards from there.

02

Trustworthy Data

Data quality is non-negotiable. Event validation, schema enforcement, and clear documentation. Bad data is worse than no data.

03

Self-Service Analytics

Democratize data access. Product managers, marketers, and engineers should answer their own questions without waiting for data teams.

04

Standardization at Scale

Unified event taxonomy and metrics definitions across apps. Compare products, benchmark performance, and share learnings.

Need better data?

Whether you're starting fresh or scaling up, I can help you build analytics that actually inform decisions.