Casey Pashup
Data Engineer & Analyst · Seattle, WA
Overview · Skills · Experience · Projects · Education
Professional Overview
Data analyst and engineer with 2+ years of experience visualizing data and performing geospatial analysis to improve strategy and provide valuable insights to the organization. Graduate of the University of Minnesota with a B.S. in Economics and a minor in math. Completed the Data Science Certificate program through the University of Washington. Currently working with Streamlit, Dash, and geopandas to further enhance my scripting and data visualization abilities.
Technical Skills
- Languages and Tools: Python • R • SQL • pandas • scikit-learn • Excel (advanced)
- Geospatial Analysis: ArcGIS Pro • QGIS • folium • geopandas
- Visualization and BI: Microsoft Power BI • matplotlib • Seaborn • Tableau
- Business Insight: Cost Analysis • Budget Management • Social Media Analysis
- Foreign Language: Spanish (professional) • Portuguese (conversational) • German (conversational)
Professional Experience
Data Analyst — AT Pacific Talent (Founder)
Seattle, WA · May 2022 – Current
Bookkeeping and social media analysis used to provide valuable insights and improve strategic outcomes. Managed multiple accounts with over 850k combined followers, improved engagement across multiple social media metrics, and streamlined the existing manual reporting system into a central dashboard.
- Utilized bookkeeping skills and financial analysis to keep the organization in a fiscally responsible position
- Constructed ETL pipelines to extract client engagement metrics and replaced prior manual reporting systems to streamline organizational efficiency
- Performed client-based social media analysis using native tools to provide in-depth, platform-specific insights
- Communicated clearly with clients and provided data visuals and overview reports using matplotlib, Power BI, and Microsoft Excel
- Managed day-to-day communication and campaign coordination for a portfolio of 5+ client accounts, serving as the primary liaison between clients and internal talent
Classroom Support Assistant — University of Minnesota
Minneapolis, MN · Aug 2018 – Jun 2021
Worked within the UMN Language Lab to coordinate classroom reservations, provide technical assistance to instructors, and manage classroom computers throughout the day to prepare for classes and exams.
- Worked with students, faculty, and administration to provide clear communication on Language Lab protocol
- Managed a classroom reservation system with 8+ classrooms and 30+ instructors
- Utilized Excel, Google Calendar, and internal systems to improve the flow of day-to-day Language Lab operations
Projects
King County Metro Frequency Dashboard
- Used Python data analysis tools to manipulate and visualize static GTFS data according to user-specified constraints such as frequency, service hours, day of week, and other dynamic service patterns
- Currently integrating live GTFS feeds to track real-time frequencies, ridership, and delays
- Stack: Python (pandas, geopandas), SQL, ArcGIS Pro · version controlled through GitHub
Demo Projects
- Utilized 2 API sources to collect data on bike ridership and weather metrics, making sure it is as recent as possible
- Completed feature engineering and preprocessing of data to fit, predict, and evaluate using scikit-learn models such
as linear regression, SVMs, nearest neighbors, and k-means - Stack: Python (pandas, requests, Json, scikit-learn, matplotlib) • version controlled through GitHub
Education and Certificates
- Certificate, Data Science — University of Washington · Sep 2024 – Sep 2025
- B.S., Economics — University of Minnesota – Twin Cities · Aug 2018 – May 2021
- Minor, Mathematics — University of Minnesota – Twin Cities
