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Eric Worre

@ericworre

Senior Data Engineer at Accorded turning product events and claims data into adoption insights and reusable experimentation datasets.

United States

Message

What I'm looking for

I'm interested in the Data Scientist, Product Growth and Experimentation role, working closely with Product and Engineering to illuminate user journeys, identify adoption friction, evaluate interventions, and turn analysis into reusable datasets, metrics, dashboards, and practical recommendations.

At Accorded, I join claims and eligibility records with product events to show where customers stall before cost benchmarking. I also cut claims reconciliation turnaround by 20% with a coverage-adjusted dataset for Acumen benchmarking.

At CareJourney, I standardized Provider Performance Index cohorts and shortened refresh windows by 15%. My analysis separated population differences and customer selection effects from apparent performance or adoption changes.

Earlier, at Cooklist and SamCart, I analyzed pantry activation, grocery catalog matching, and checkout journeys. I reduced catalog matching exceptions by 25% at Cooklist and subscription reporting latency by 30% at SamCart, while helping Product assess experiments with uncertainty in view.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Accorded

Jul 2024 - Present (2 years 3 months)

Standardized onboarding milestones and cut claims reconciliation turnaround by 20% using SQL and Python in Snowflake. Automated experiment preparation and built Tableau dashboards to clarify adoption paths.

SQL Python Snowflake Athena S3 Presto Trino Tableau Statsmodels scikit learn Cohort Analysis Funnel Analysis Experimentation Data Engineering

Senior Data Engineer

CareJourney

Apr 2022 - Jun 2024 (2 years 2 months)

Standardized provider comparison cohorts and shortened data refresh windows by 15% using SQL, Python, and Athena. Applied propensity weighting and clustering to separate selection effects from adoption changes.

SQL Python Snowflake Athena S3 Presto Tableau Statsmodels scikit learn Propensity Clustering Data Engineering

Data Engineer

Cooklist

Jan 2019 - Mar 2022 (3 years 2 months)

Mapped digital-pantry activation bottlenecks and reduced catalog matching exceptions by 25% using SQL and Python in BigQuery. Developed scikit-learn models to prioritize retention signals.

SQL Python BigQuery Jupyter Statsmodels scikit learn Cohort Analysis Data Engineering

Data Engineer

SamCart

Oct 2016 - Dec 2018 (2 years 2 months)

Reconciled checkout journey stages and reduced subscription reporting latency by 30% using SQL and Python. Built Tableau dashboards to expose friction in order-bump and upsell journeys.