UX Analytics & A/B Testing
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Updated
Sep 7, 2021 - Python
UX Analytics & A/B Testing
TNO MPC Lab - Protocols - Kaplan-Meier
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
Analyzed employee turnover (Jan 2022 - Mar 2023) at my former organization, considering trends, departmental attrition, and tenure insights. Used predictive analytics from the 2022 Employee Engagement Survey to identify groups with flight risk. Incorporated Survival Analysis for temporal patterns, guiding decisions to improve retention.
kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.
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