I am a Graduate Student at the University of Notre Dame in the Department of Computer Science and Engineering. My research centers on the integration of data mining and machine learning within healthcare, with a focus on the quality and effectiveness of patient care.

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Community Pilots

Professional Experience

Data Science Intern
Summer 2015
  • Investigated the appropriate frequency to rebuild predictive models, focused on identifing changes in underlying data to account for the dynamic nature of healthcare claims coding.
  • Developed approaches for estimating an individual's personalized likelihood to readmit to a hospital for specific conditions.
Credit Suisse
Technical Analyst
May 2012- August 2013
  • Utilized data structure theory to create optimized method functionality
  • Beyond development resonibilities, worked to find, eliminate and migrate antiquated elements in production environment to updated objects
  • Worked within a test driven development framework
Credit Suisse
Technical Analyst
Summer 2011
  • Worked as a member of a team to develope web-based dashboard providing all levels of the bank access to comprehensive analytics of the usage of a database
  • Produced extensive documentation through all stages of the project lifecycle
  • Learned to develop and operate applications within the regulations and technological standards of a company
Stony Book University
Summer Researcher
Summer 2010
  • Member of a team investigating the potential benefit of Active Learning on learning algorithms
  • Utilized machine-learning techniques including Gaussian Mixture Models, and SVM’s

Technical Skills

Programming Languages: C, C++, C#, Python, JavaScript, Java (Android)

Data analysis and visualization tools: Matlab, R

Database Experience: MySQL, Oracle, PHP