Data Scientist Analyst I
CurrentUse Python, SQL, HANA, and SAS to automate and optimize processes associated with the F-35 Sustainment Program.Currently building a data science pipeline that will process and detect patterns and anomalies in large categorical data sets.Developed an imputation process that replaced our current stochastic process with truth data values. The effect of this process will improve all models/forecasts that depend on it. For example, our processes will no longer assign values/rates to values that may have been incorrectly selected stochastically.Responsibilities/Experience:Automated a manual, 1-day Excel process with a Python script that has a run-time of 1 minute. This automated process replaced a manual process and removed the need to manually exchange flat-files.Apply linear regression model in SAS to improve the time-space complexity/run-time of SAS process flows from 4 hours to 10 minutes. Development of tableau dashboards to analyze and present findings that address profit optimization by identifying optimal forecasting methods (the better we understand the data and its relationship to the system we work, the better we understand which models, and statistical methods to apply).Advanced EDA, Machine learning application, SAS & Python development to improve business processes, eliminate waste and redundancy, and stitch up the data integrity fabric stands up and holds the F-35 Sustainment Program.These improvements optimize time and revenue.
