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To be evidence-based, you need to know what works. After a decade of working on well-intentioned products with ambiguous impacts, I returned to graduate school in 2022 to learn the technical skills required for efficacy research. 

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The following documents my learning as a baby statistician and quantitative researcher and my career-long pursuit to operationalize data in product development. All data shown here are artificially generated.

Large Scale Survey Product

Bridging Research with Business 

Embedding quantitative methods in day-to-day product work.

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Data Visualization

Shiny Dashboard for Data Exploration

A project for the Harvard Graduate School of Education Professional Education

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Privacy Detection in R

Masking PII in Open-Ended Responses

Detecting names, experience, and other sensitive information in open-ended text.

Image by Moneywise

Event Analysis

Shiny Dashboard for Session Replay

A no-cost alternative because we can't afford Amplitude and Mixpanel

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