Lisa Over

Data management professional with expertise in programming, statistics, education, and communication

Tenacious and resourceful programmer with experience in data management, data visualization, statistical modeling, user interfaces, and web development.
Proficient problem solver with experience applying data mining techniques and statistical methods including linear and logistic regression modeling and analysis of variance and covariance.
Productive and innovative teacher, writer, and editor adept at communicating technical concepts to a non-technical audience through effective presentations and user documentation.

Data Management Assistant
University of Pittsburgh, Epidemiology Data Center, Pittsburgh, PA
January 2019 to Present

Develop ad-hoc reports to summarize data quality issues, subject information, and site payables and payments.
Develop web-based data gathering applications that function with an in-house data management system.
Develop and implement ETL processes to load electronic health record data from Excel and flat file sources to target tables.
Develop and implement applications to map study variables to form structures required by the Federal Interagency Traumatic Brain Injury Research (FITBIR) organization.
Communicate inconsistencies and problems with data entry forms, or their use, to promote quality data collection processes.

Web Designer and Administrator
Self-employed, Pittsburgh, PA
Aug 2006 to Present

Design and maintain websites for visual appeal, accessibility, usability, and maintainability using HTML, CSS, JavaScript, and PHP.
Work closely with clients to edit, organize, and present their information effectively.

Adjunct Professor, Business Statistics
Duquesne University, Pittsburgh, PA
Aug 2016 to June 2018

Designed and delivered lessons to engage students with real-world and hands-on activities.
Incorporated projects that model the data analysis process and developed statistical thinking and technical writing skills.
Monitored student progress through formative assessments and assignments and provided feedback to students through re-teaching and comments.
Worked closely with students individually and in small groups to identify weaknesses and areas for improvement.

Business Analyst Intern
Management Science Associates, Pittsburgh, PA
July 2015 to Oct 2015

Assisted higher-level analysts on a variety of market research projects, which involved creating graphs, data summaries, and regression model reports for a new brand volume forecast and an analysis of out of stock SKUs.
Wrote SAS procedures and macros to organize and summarize data and run models; data organization tasks involved extensive use of SQL.
Wrote visual basic scripts to perform calculations and to create report summaries and charts automatically, which made data preparation more efficient and less prone to error.

Master of Library & Information Science, expected Summer 2022
University of Pittsburgh, Pittsburgh, PA

Master of Science in Computational Mathematics, 2015
Duquesne University, Pittsburgh, PA

Teacher Certification in Mathematics 7-12, 2012
Robert Morris University, Pittsburgh, PA

Bachelor of Science in Scientific and Technical Communication, 1994
Bowling Green State University, Bowling Green, OH

Introduction to Computational Thinking and Data Science by MITx on edX, September 2018

Introduction to Data Science in Python by University of Michigan on Coursera, September 2018

Introduction to Computer Science and Programming Using Python by MITx on edX, August 2018

American Library Association

Association for Information Science and Technology

United States Conference on Teaching Statistics (USCOTS) 2015