Lead Data Scientist (individual contributor) with 10+ years in product, growth and monetization
analytics. At Miro I lead strategic analytics projects in the Forward Deployed Analytics unit, including
the new enterprise licensing models, aligning CFO, CRO and CCO, while mentoring junior analysts in
experimentation. I turn complex data into clear narratives that drive decisions.
Career timeline
Work experience
MiroMar 2022 – Present
Lead Data ScientistMar 2023 – Present
Lead cross-functional strategic projects, including Miro's new enterprise licensing models, from identifying opportunities, developing new frameworks, finding consensus among leadership (CFO to validate numbers, CRO to validate solution fit and relevance, CCO for large-account needs) and releasing an experimental framework to validate those hypotheses
Run about 40 experiments and raise experimentation standards; go-to resource for analytics best practices and data literacy
Combine quantitative and qualitative methods on usage, performance and user profiles into clear product, monetization and growth recommendations
Maximize monetization across acquisition and expansion through in-product flow and role differentiation analysis, improving admin experience and driving organic growth
Build predictive models of the user journey, net revenue retention and customer lifetime value to show what drives long-term commitment, expansion and retention
Support the product lifecycle end to end, from research and prioritization to experiment design and result analysis
BlendleNov 2019 – Mar 2022
Senior Data Analyst
Track Growth and Product KPIs through automated dashboards, alerts and reports
Contribute to the design and implementation of new subscription infrastructure across multiple payment providers
Build predictive models of the user journey and long-term product commitment
Segment the user base to improve service delivery
HotelchampMar 2019 – Nov 2019
Data Analyst
Create and maintain partner-facing insights dashboards
Develop LookML models in Looker for BI users
Automate and expand reporting for product KPIs and analytics
P&VOct 2017 – Feb 2019
Data Analyst
Segment and profile customers; select, test and analyze campaigns
Design and implement predictive models in R and SAS (logistic regression, random forests)