.Antwoine Flowers

I work at the intersection of data analysis and machine learning engineering. As a Sr.Analyst I work closely with sales and marketing leadership to understand our customer journey using statistical modeling and data mining methods. I then take those insights to build and deploy new tools and platforms for our front line sales and marketing teams. My daily work requires extensive data visualization using tools like ggplot, seaborn, and tableau. I work across several data storage systems in the cloud and on premises (Sql Server and AWS) and I spend significant time building and deploying machine learning tools built in R or Python. Deriving meaningful insight from complex data sets requires a variety of modeling techniques including Bayesian methods, dimensionality reduction, and time-series analysis. In the context of retail analytics I leverage several methods including survival analysis, uplift modeling, and hidden markov models.