Meggan Lanpher

Membership Data Chair

Young Women's Alliance•  June 2020 - Present

- Collaborate with the Board of Directors to determine data management requirements and analytics needs - Analyze membership survey data in Python and Google Sheets in order to improve engagement and retention - Communicate data-driven and actionable insights to the Board of Directors via custom data visualizations - Reduced processing time 50% for mentorship matching programming by creating a scoring script in Python

Data Analytics Consultant

Music Cities Together•  May 2020 - Present

- Designed Tableau dashboards to tell a story from survey data and facilitate recovery of the music scene - Engineered a workflow for processing raw data in Python in order to analyze trends in the music industry - Communicated data insights and recommendations to key stakeholders via Zoom and Google Slides

Data Science Instructional Associate

General Assembly, General Assembly•  May 2020 - Present

- Provide personalized feedback for students’ data science projects to improve their code efficiency and models - Document students’ needs and collaborate with the instructional team to adjust course materials/structure - Hold students accountable for their attendance and assigned projects via email and Slack communication

Office Administrator/Project Manager

Macmillan Learning•  March 2018 - November 2019

- Gathered data on the usage of parking assignments, access badges, and food and beverage consumption - Reduced parking costs by 10%, break room costs over 15%, and machine maintenance response time over 95% via vendor management and analyzing the usage and consumption of office amenities in Google Sheets - Collaborated with HR BPs to provide strategic reporting on all Austin employee, contractor, and office data - Interviewed and screened intern candidates for 10% of the Summer Intern Program roles - Created a system of office-wide communication via email, Google Calendar events, and creative visual posters - Streamlined detailed reports and visualizations for Talent Assessment data and Organizational Charts