I'm a software developer turned data scientist. Currently doing data analysis/science and machine learning for a rapidly growing, pre-IPO, tech company. I'm very curious in general and love to learn.
Here are some personal projects.
Python Machine Learning Libraryhttps://github.com/shane-kercheval/oo-learning
An object-oriented python library that makes it easy to use, evalulate, and search for machine learning algos.
Shiny App for Analyzing A/B Test Datahttps://kercheval.shinyapps.io/shiny-ab-testing/
This shiny app is an example of an A/B test dashboard that uses both frequentist and bayesian methods.
Shiny App for Exploring Datasetshttps://kercheval.shinyapps.io/shiny-explore-dataset/
This app allows the user to upload .csv or .RDS data to slice and dice the data in vaarious ways.
Shiny App for Exploring Time Series Datasetshttps://kercheval.shinyapps.io/shiny-explore-time-series/
This app allows the user to upload .RDS files containing time-series datasets and gives the user the ability to perform various time-series analysis techniques.
Here are some "blog-post" type references.
A/B Tests, Diminishing Lift, & Attribution Windowshttps://github.com/shane-kercheval/misc-projects/blob/master/attribution-window-effects/attribution-window-simulation.md
What effect does an attribution window have on the results of an experiment?