Lauren Oldja is a Principal Data Scientist with a decade of experience turning imperfect and messy data into actionable AI/ML products that drive social impact across fundraising, volunteer engagement, case management, and civic technology. She blends hands-on technical leadership—building lightweight, deployable data products and ML systems at scale—with operational management of projects, research teams, and client relationships, thriving on the critical path between strategy and delivery. Her career spans startups and mission-driven organizations, from AutoML and fraud detection at SparkBeyond to fintech for financial inclusion and global public-health field research, giving her rare fluency in both rigorous evaluation and production engineering. An active community leader and mentor in the PyData/NumFOCUS ecosystem, she regularly shapes conference programs and educational outreach, and she advocates for diversity, equity, and inclusion in tech. Equally comfortable advising C-level stakeholders and debugging models in production, she brings a pragmatic, outcome-focused approach informed by fieldwork in low-resource settings.
9 years of coding experience
5 years of employment as a software developer
SB Urban Studies and Planning, SB Urban Studies and Planning at Massachusetts Institute of Technology
MSPH International Health Systems (M&E), MSPH International Health Systems (M&E) at Johns Hopkins Bloomberg School of Public Health
Data Science Bootcamp, Data Science Bootcamp at Metis
Contributions:3 pushes, 1 branch in 2 years 5 months
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