Career Profile
Welcome! My name is Lisa Over. I manage research data for a multifaceted study focused on the care and outcomes of traumatic injuries with the goal of updating existing standards of care. I develop reports and applications to support study administration and perform data munging tasks to make complex datasets ready for analysis. I focus on the needs of my clients, which include other data managers, data analysts, project managers, and study directors. I am part of a team that makes sense of data for the benefit of the public. What I do is essential to people, and the families of people, who receive better care as a result of this study.
My professional goal brings together my expertise and enthusiasm for computer programming, statistics, and math; my desire to solve problems that benefit people, organizations, or society; and my conviction to embrace challenges and life-long learning. I also enjoy teaching, and I volunteer with the Center for Analytical Approaches to Social Innovation (CAASI) at the University of Pittsburgh to mentor undergraduate social science students who are using open civic data to solve problems.
I bring a set of core teaching, communication, and programming skills as well as professionalism, dedication, and perseverance to everything I do. I am an enthusiastic, independent worker who values constructive criticism and welcomes opportunities to collaborate with peers. I gravitate toward intellectual challenges and am inclined to try new approaches or techniques in my work.
Thank you for your interest in my resume and portfolio.
Experiences
My primary responsibilities involve programming in Python, PL/SQL, and SAS to create and maintain reports and data entry applications for an Oracle-based in-house Data Management System and to clean electronic health record (EHR) data. Through these tasks, I support study personnel for a series of studies within the LITES, a network of medical professionals, prehospital providers, and emergency medical services who work together to conduct reseaech on injury care and outcomes.
- Develop and implement data processing tasks to clean electronic health record data from Excel and flat file sources.
- Develop computer-based monitoring procedures using PL/SQL, SAS, and VBA to summarize data quality issues, important subject information, and site monitoring and payment information.
- Develop web-based data gathering applications using PL/SQL and JavaScript to facilitate quality data entry.
- Work closely with clinical personnel and statisticians to understand reporting requirements and to develop effective methods of providing datasets and reports as needed.
- Improve data compliance reporting and quality control procedures by communicating inconsistencies and problems with data entry forms, or their use, through regular data management meetings and reports.
- Develop applications to map study variables to form structures required by the Federal Interagency Traumatic Brain Injury Research (FITBIR) organization.
During spring semester, I conduct weekly Python workshops for undergraduate social science students who want to solve problems using open civic data.
Over the course of two years, I taught eight sections of QSIS 284/285 Business Statistics for the Palumbo-Donahue School of Business and one section of UCOR 111 Problem Solving for the Department of Mathematics and Computer Science. I also taught one section of Math 125 Fundamentals of Statistics as a student in the Computational Mathematics program.
- Designed and delivered lessons to engage students with real-world and hands-on activities.
- Incorporated activities to model the data analysis or problem solving process to develop analytical thinking.
- Monitored student progress through formative assessments and assignments.
- Provided feedback to students through re-teaching and comments.
- Worked closely with students individually and in small groups to identify areas for improvement.