Edwin D'Souza Email & Phone Number

Temecula, CA, US

San Diego, California, United States

Greater San Diego Area

• Environment: R, SAS, Python, SQL, Excel VBA, Linux Shell Scripting & High-Performance SupercomputersDuties: Conducted research on Department of Defense (DoD) projects at the Naval Health Research Center customer site..
• Elevated the electronic health records (EHRs) of the Theater Medical Data Store (TMDS) by applying machine learning and natural language processing methods to free-text, unstructured clinical notesto predict patient.
• Revamped the process for estimating casualties during combat by collecting ~300 distinct combat operation data points and developing machine learning models to forecast ground-combat wounded-in-action (WIA) rates..
• Applied topic modeling to free-text clinical notes in EHRs to identify thematic patterns thatmirrored known correlates of insomnia, revealed multiple etiologies for deployment-relatedinsomnia, and derived valuable.
• Evaluated data on wounding patterns for a large population of combat survivors, applyinglatent class analysis to identify 7 distinct and interpretable injury profiles that deliver insights tomilitary planners and.
• Chaired the “Casualty Estimation and Force Health Protection” working group for the Military Operations Research Society Symposium for 2 years.

San Diego, California, United States

• Environment: R, SAS, SPSS, MATLAB, SQL & Excel VBADuties: Created statistical methodologies to estimate casualty statistics for various operational phases and types of combat. Collaborated with stakeholders in the.
• Played a key role in the design and development of the first medical planning tool accredited by the Military Health System for DoD-wide use.
• Applied survival analysis methods to develop empirically-based survival time curves, utilizing more expansive combat data and improving survival-time estimates used in combat medical logistics planning.
• Joined a team of civilian and tri-service military experts to create and test a new, simplified Military Combat Injury Scale (MCIS) with predictive validation showing improved performance of MCIS over AIS-based tools.
• Simulated multi-injury casualty streams in a shipboard combat environment.

Greater San Diego Area

• Environment: PL/1, Unix shell scripting.
• Designed, analyzed, programmed and tested major enhancements to support an online, real time software transaction processing system for credit unions.

Greater San Diego Area

• Environment: C#, Visual Basic.
• Designed, programmed, tested and deployed new features and enhancements to the transaction processing software and online banking site.

Master'S Degree, Statistics, Gpa 3.97

Activities and Societies: - Served as a TA from January - June 2008.- Achieved an overall GPA of 3.97 for the Masters in Statistics.

Nanodegree, Deep Learning

Bachelor Of Computing, Information Systems