Lindsey Possehl
Tiffin
Summary
Analytics and Data Science Leader with expertise in machine learning and audience segmentation. Proven track record of driving data initiatives that enhance media measurement and foster collaboration across teams. Strong ability to translate complex data into actionable insights for strategic decision-making.
Overview
10
10
years of professional experience
Work History
Associate Director, Media Analytics, Data Science
Quad
04.2024 - Current
- Onboarded and led the development of a multi-million-dollar data stack, serving as the foundation for the agency’s media activation strategy; responsible for modeling, maintaining, and building scalable data products that support cross-client initiatives.
- Led in-house modeling algorithm enhancements, implementing independent variable transformations, algorithm refinements, and data reduction techniques that significantly improved lookalike modeling performance for media targeting.
- Initiated key enhancements to the TMEM media measurement product, directly contributing to a $500K+ contract with a major national retailer by aligning the solution with client-specific needs, and demonstrating measurable value.
- Partnered closely with internal stakeholders to transition TMEM ownership to the measurement team, ensuring a smooth handoff, and continued client success.
- Contributed to numerous high-stakes pitches and RFPs; played a key role in winning new business through data-driven storytelling and custom analytics solutions.
- Elevated Audience Services into a core strategic capability by integrating the data stack, research insights, and product strategy—enhancing scalability, improving cross-departmental data accessibility, and enabling more precise audience segmentation and activation for pitches, campaigns, and product development.
- Collaborated with cross-functional teams to enhance the data stack, ensuring seamless integration with audience tools, and improving the overall efficiency and accuracy of audience targeting.
Senior Manager, Media Analytics, Data Science
Quad
01.2022 - 04.2024
- Spearheaded the development, creation, and launch of Audience Builder, a high-impact data tool that drove sales, activated targeted mailings, and influenced client opt-ins through data accessibility.
- Collaborated with cross-functional teams, including Sales, Media, Planning, and Analytics, to drive adoption and integration of data tools.
- Led enhancements to A/B testing applications, improving performance and usability.
- Streamlined workflows for the Dashboarding Team, increasing efficiency, and reducing turnaround time.
- Conducted advanced data testing for profile modeling and algorithm validation within the Data Stack initiative.
- Deepened expertise in Marketing Mix Modeling (MMM) through hands-on work with retail data. Fostered the creation and enhancements to TMEM analytics for multiple clients, supporting strategic decision-making as a result of media activation.
- Executed a large-scale data migration for ESRI, while mentoring a junior team member on process improvement and tool utilization.
- Delivered multiple training sessions on Tableau, Alteryx, and Python, mentoring peers across various analytics topics.
- Initiated the creation of a future-focused Data Management System to support scalability and innovation within our Data Stack.
- Responsible for mentoring and fostering new growth within my team.
Senior Data Scientist
Ruffalo Noel Levitz
01.2017 - 01.2022
- Applied machine learning techniques to perform predictive modeling and optimization for over 275 clients and partners.
- Designed and deployed interactive dashboards using Tableau and SAS Visual Analytics to support data-driven decision-making.
- Identified key indicators of student enrollment, and analyzed price sensitivity to inform institutional strategy.
- Streamlined data cleaning processes for market research, contributing to product enhancement and automation efforts.
- Collaborated with Data Management to establish guidelines and standards for consistent data processing.
- Developed a company-wide client survey dashboard in Tableau to measure and visualize client success metrics.
- Independently created, tested, and deployed a scoring tool that increased client partner revenue by up to $750,000 annually.
- Designed a new fundraising optimization product, modeling ideal outreach frequency to prospective donors.
- Conducted numerous ad hoc analyses in collaboration with fundraising partners to support campaign effectiveness.
- Built dashboards to visualize machine learning projections, enhancing transparency and usability for stakeholders.
- Documented all new processes and product developments to ensure reproducibility and team alignment.
- Led training sessions on predictive modeling and product usage, supporting internal adoption and skill development.
- Owned the development, enhancement, and debugging of the Financial Aid product, ensuring reliability and performance.
- Provided cross-functional support to teams, including Enrollment Management, Fundraising, Finance, Client Success, and Market Research.
- Conducted research on student behavior and movement through the enrollment funnel, informing strategic initiatives in higher education.
Statistical Analyst
Ruffalo Noel Levitz
06.2015 - 01.2017
- Assist institutions in the creation, cleaning, and maintenance of their data.
- Produce various reports in the AFAS (Advanced Financial Aid Services) cycle for clients.
- Produce various reports in the SRP (Student Retention Predictor) cycle, as well as model prep.
- Working with a consultant to help a campus reach its goals.
- Maintain a full workload while prioritizing the needs of clients and coworkers.
- Create efficient ways to clean and work with data through the creation of VBA macros and SQL.
- Write extensive and in-depth business rules in SQL.
- Problem-solve common issues that arise during processing.
- Migrated roughly 80 clients into a new processing platform.
- Responsible for understanding and keeping up to date with current financial aid policies.
Education
Bachelor of Science - Applied Mathematics
Western Colorado University
Gunnison Colorado05-2015
Bachelor of Science - Computer Science
Western Colorado University
Gunnison, CO05-2015
Skills
- Machine learning
- Audience segmentation
- Media measurement
- Data-driven storytelling
- Alteryx
- Tableau
- Python
- PySpark
- Snowflake and Snowpark
- Data Management
- Data Engineering
- Team collaboration and leadership
Affiliations
Outside of my career in data and analytics, I enjoy reading, creating art, and exploring new ideas—activities that fuel both my imagination and problem-solving skills.
References
References available upon request.
Timeline
Associate Director, Media Analytics, Data Science
Quad
04.2024 - Current
Senior Manager, Media Analytics, Data Science
Quad
01.2022 - 04.2024
Senior Data Scientist
Ruffalo Noel Levitz
01.2017 - 01.2022
Statistical Analyst
Ruffalo Noel Levitz
06.2015 - 01.2017
Bachelor of Science - Applied Mathematics
Western Colorado University
Bachelor of Science - Computer Science
Western Colorado University
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