Hi! I'm a seasoned data leader and practitioner with expertise in product analytics and data science, data visualization, data/analytics engineering, and consumer products. Experienced builder of 0 to 1 data systems and infrastructure. Currently the Head of Data at Evernest. Mentor for aspiring data professionals at Springboard. Occasional technology startup investor. Interested in education technology, coaching/mentoring, road running, books.
I've built and led high impact teams focused on product analytics at Dropbox (DBX) and Udemy (UDMY). As a product analytics manager at Dropbox, I led the groups focused on growth and core product. At Udemy, I was the first product analytics hire and built the team and the function from scratch. My team partnered with our product team to make data-driven decisions by identifying areas of opportunity and delivering insights about the students and instructors on our marketplace. Many years later, elements of the data infrastructure I developed are still in use.
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Data Science and Analytics
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Data Visualization
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Data and Analytics Engineering
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A/B Testing
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Airflow, dbt
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Python, R
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SQL, Hive, Presto
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Head of Data
- Designing and implementing our foundational data infrastructure to support the leveraged use of data across the company and externally
- Responsible for developing and executing on the data strategy for the business, including our initial metrics framework and defining how teams should use data to make decisions
- Serving as a reviewer and subject matter expert for curriculum in our data science vertical
- Tools: Python, dbt, BigQuery, Segment, Stitch, Metabase
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Director, Data Science and Analytics
- Head of the data science function and responsible for team operations, technical leadership, hiring, performance management
- I built a high performance team with data scientists embedded in our product and marketing teams
- My team's scope is broadly focused on driving decision-making across the company through quantitative methods (exploratory analysis, applied statistics, A/B testing, causal inference)
- Tools: Python, R, Redshift, Airflow, Periscope
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Senior Product Analytics Manager (Growth and Core Product)
- Hired and managed a team of product analysts embedded in the growth product and core product groups
- Rapidly scaled the team by hiring and onboarding five new product analysts in 12 months
- Developed product analytics prioritization processes in consultation with cross-functional partners
- Tools: Python, R, Hive
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Senior Manager, Analytics (Product)
- Established and scaled the product analytics function, and hired/managed a team of data analysts
- Informed product direction and strategy through quantitative analysis of our student and instructor data
- Provided guidance, mentorship, and direction to the product analytics team and to the entire analytics team
- Frequently collaborated with our data infrastructure team to continuously improve data quality to enable higher quality analysis and increase trust in data across the organization
- Developed processes to standardize experimentation and experiment analysis across the product team
- Tools: Python, R, Redshift, Hive, Chartio, Tableau, Superset
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Quantitative Analyst (Consumer Product)
- Worked on product, marketing, and SEO analytics
- Defined and tracked KPIs for the upper funnel of our consumer business
- Developed tools to track and monitor upstream SEO performance
- Partnered with our business intelligence team to improve our marketing channel definitions and attribution model
- Worked at two economic consulting firms, part of consulting engagements spanning a variety of industries and practice areas
- Provided extensive technical and analytical guidance to analysts and consultants
- I studied economics as an undergraduate and graduate student
- Areas of interest include health economics, economics of education, applied microeconomics, and empirical studies of network effects, such as this paper