Summary
Megan Neisler is a Staff Data Scientist with a decade of experience turning messy data into clear, actionable insights, currently shaping product analytics at the Wikimedia Foundation. She combines a strong technical toolkit (R, SQL, Spark, Hive, Jupyter, Git) with deep experience translating results for non-technical stakeholders, producing monthly health metrics and strategic reports that guide product decisions. Her background as an environmental scientist gives her unusually strong experience in field data collection, regulatory reporting, and communicating complex technical findings to public audiences. Megan has repeatedly bridged project coordination and analytics—streamlining workflows, running cross-functional programs, and building reproducible analyses that stay useful after delivery. She’s known for quick tool adoption, rigorous data visualizations, and a penchant for uncovering subtle behavioral patterns in large-scale web data. Based in Leesburg, VA, she’s open to conversations about careers, data analysis, and open source collaboration.
10 years of coding experience
10 years of employment as a software developer
Bachelor's Degree Integrated Science and Technology, Bachelor's Degree Integrated Science and Technology at James Madison University