The Workplace Effectiveness (WE) department is tasked with creating innovative ways of helping employees do their best work. We strive to enhance the work experience by creating optimal work environment designs, implementing technology tools, and developing collaborative social practices.As a Data Analyst, my primary responsibilities consist of data processing, analysis, and visualization using R and SQL. I also program manage a variety of data projects, assist in the design of our AWS architecture, and construct and distribute all surveys.My accomplishments include:-Constructed and distributed a work environment survey for 10k+ employees using the Qualtrics survey platform. Data was processed, analyzed, and presented to various stakeholders, including executive level officers. All survey data was managed using a rigorous employee privacy protocol, which included hashing of personal identifiers. Survey is currently being distributed on a quarterly basis and is being used to monitor the effectiveness of the work environment.-Designed the database model for all survey data, which consists of 500+ unique questions. Question coding was designed to allow for effective scaling, question versioning, and intuitive relationships between similar questions.-Assisted in the migration of the data platform from Oracle to Amazon Web Services, to create a more efficient data pipeline, application flexibility, and reduce data center cost.-Implemented version control standards for the WEA team. Created regulations around version tagging, branch relationships and development, and commit comments to ensure a more readable and sustainable git history. Trained employees on the inner workings of git through command line and github interface.-Developed a survey analysis workflow using API functionality which increased the speed at which we could provide reports to clients, and reduced the need to spend thousands of dollars on complex dashboards.

As a research analyst intern on the Neighborhood Work Environment team, my role was to quantitatively assess the effectiveness of these work environments and provide recommendations for managerial action by:-Performed statistical analysis on a variety of raw office space utilization data sources, including wifi activity, employee badge swipes, and occupancy sensors. Determined there is a predictive relationship between number of employees and office space utilization, which led to developing a targeted approach to further densify, resulting in cost savings and creation of adjacent space for groups who need to work together. -Coordinated survey distributions for participants who move from traditional work environments to shared work environments. Over 2000 participants have been surveyed both pre and post move to assess the effectiveness of various work environments. Engaged with move group client representatives to construct group specific survey timelines, survey communications, and ensure an efficient delivery process and exceptional customer experience.-Constructed a five-year parking forecast examining the relationship between parking supply and demand, as well as current and projected parking utilization. Analysis on this 60-building, 10,000 employee campus was used to determine size and location of future parking solutions.-Designed a pilot gamification program to drive adoption of new work environment practices and implemented the program with ~100 employees. Monitored the pilot program and analyzed participant behavior and engagement. Program was adopted as part of the Neighborhood Work Environment platform.

Susquehanna University is a liberal arts institute which promotes a central curriculum. The central curriculum provides graduates with an integrated set of intellectual skills, which enhance analytical thinking, teamwork, and cultural competency. The central curriculum is skill-intensive and requires the student to take a variety of courses outside of his or her declared major. As a student advisor, I engaged with faculty advisors to help students integrate their major curriculum and central curriculum course requirements into a long-term academic plan based on their career interests.

After demonstrating high proficiency in the Behavioral Neuroscience course, I was recommended by Dr. Kathleen Bailey to act as a teaching assistant for her department and selected as the first student to fill this newly created position. As a teaching assistant I collaborated with the professor in both a lecture and laboratory setting by troubleshooting labs, grading, and holding extensive review sessions for 25 students on the biological processes that underlie all human behavior.