I am David Raymond Kearney, political economist by training, data scientist by profession.
As a data scientist, I create automated member and provider engagement campaigns that leverage e-mail, IVR, SMS and live calls to increase medication adherence.
I also design experiments and employ randomized control trials to improve campaigns by identifying the most effective campaign variants, and productionlize machine learning models to identify members at risk of behaving in a way that contributes to poor health outcomes and most likely to benefit from campaigns.
I got my Ph.D. at Duke University, where my research focused on applying econometric and statistical techniques to explain and predict the allocation of fiscal transfers.
This site, will cover spark, h2o. hive and data science using python.
Posts
Using Dask for Arrays
Using sqlalchemy and pandas to read and write from and to a local sqlite database for Fiscal Data
Using sqlalchemy and pandas to read and write from and to a local sqlite database for NLP
Using sqlalchemy and pandas to read and write from and to a local sqlite database for Stock Market and Portfolio Anaylsis Tech Stocks and the S&P 500 in 2020
Stock Market and Portfolio Anaylsis Tech Stocks and the S&P 500 in 2020 with pandas_datareader and writing to at sqlite database
Creating and accessing SQL databases with python using sqlalchemy and sqlite
Friday links
Friday books
Stock Market and Portfolio Anaylsis of the S&P 500 various metrics with pandas and quandl
Thursday Links
Wednesday Links
Stock Market and Portfolio Anaylsis of the S&P 500 with pandas and quandl
Tuesday Links
Monday Links
Creating and accessing SQL databases with python using sqlalchemy and sqlite3