As Principal Data Scientist, I apply my expertise in machine learning, statistical modeling, data engineering, and data visualization to lead teams through solving some of the federal government’s largest challenges. I provide oversight to a number of projects each year that includes reviewing code, establishing technical approaches to public health challenges, and meeting with customers to align projects with their challenges.

I apply my data science expertise to business development activities through drafting proposals, refining hiring processes, and establishing a system for rewarding projects that impact public health. In addition, I’ve reviewed research proposals for our internal research program and advise research teams in developing materials to communicate their technical concepts to broader audiences.

I supported multiple clients by using various analytic techniques including but not limited to Optimization, Data Mining, Natural Language Processing, and Machine Learning. These skills are applied through a combination of R, Python, SAS, and Netezza.

I served as one subject matter experts in the following areas: NLP and text analytics, optimization, and big data solutions. Typical duties include hosting "lunch and learns", providing support on business development efforts, and producing code samples in multiple programming languages.

Worked with a team to determine the best use of IBM’s analytical skills to help Aetna improve their business. Modified a SAS multiplicative regression model to be more flexible with data and improve efficiency. Determine the important factors in improving care management efficiency for existing programs at Aetna.

Supported JIEDDO using various analytical techniques including Analytic Hierarchy Process and Regression Analysis. Created and tested a metric to help support decision making for various groups of people working with JIEDDO. Improved existing products in Excel and Access using SAS code. Created SAS Stored Processes to help streamline report generation. Improved raw data cleansing and formatting using regular expression parsing. Streamlined a process to parse XML files and create new databases from the results. Developed SAS stored processes to support business intelligence and analytics. Designed a database to enhance reporting and help determine an optimal solution to a resource allocation problem.

As an Operations Research Analyst, I had the responsibility for taking a list of directions and being able to produce a solution with little to no guidance. This involved working with EXCEL, VBA, SAS, ARENA, and AnyLogic.

I was responsible for the team of interns. I worked with other SAIC employees to both screen and interview applicants for the Operations Research internships. I provided a list of tasks, providing feedback on work, and supervised the team of interns.