Took initiative in data governance process by leveraging SQL/SAS to develop automated processes to ensure data consistency and quality. Used supervised and unsupervised data mining methods to generate data insights to support decision making, particularly in areas of student success using complex algorithms such as logistical regression, propensity score matching, clustering analysis and decision trees. Designed and built interactive reports using Tableau in order to allow users to monitor annual and daily trends and to better visualize complex data.Coordinated routine compliance reporting by collaborating closely with cross-functional teams. Coordinated meetings and established timeline and milestones in order to ensure timely and accurate data submissions to federal, state and other authorities.

Designed and built interactive reports using Tableau in order to highlight trends in data. Collaborated with the IT team and business functions to develop ETL process useful for automated reporting. Helped improve retention and graduation rates by conducting quantitative and qualitative research and analysis on key drivers of student success. Coordinated routine compliance reporting to Indiana Commission for Higher Education (ICHE) by automating data collection processes and collaborating closely with cross-functional teams.

Manipulated multiple large-scale datasets from various data repositories. Analyzed data pertaining to student mobility between the two colleges in order to support various transfer initiatives and inform decision making. Developed complex matching algorithms to merge, clean and validate Ivy Tech and IUPUI datasets using weighted common identifiers.

Supported various clinical trial studies to evaluate the effectiveness, accuracy and safety of diagnostic tests and medical device products. Worked with investigators to design and implement questionnaires or case report forms (CRF) to collect data from participating sites. Extracted, manipulated, joined, analyzed and exported clinical trials data per FDA requirements. Conducted statistical analysis of data using various parametric and non-parametric tests. Used SAS macros to create statistical tables, figures and listing for FDA submissions, as well as to create quality control checks to find issues in data.