Irene Florez is a data scientist and systems-focused operator based in San Francisco with nine years of cross-disciplinary experience blending analytics, product strategy, and journalism. At the Wikimedia Foundation she has advanced from analyst roles to data scientist, building dashboards, defining impact metrics, and enabling community-driven projects like multilingual content campaigns. Her background in journalism and digital strategy gives her a distinctive strength: translating complex data into compelling narratives and actionable recommendations for diverse stakeholders. She pairs hands-on technical skills in Python, analytics engineering and APIs with product instincts honed through consulting and web/UX work for nonprofits and startups. Irene has repeatedly driven measurable growth—whether boosting web traffic and ad performance or increasing donor engagement—while maintaining attention to data quality and community context. Fluent in storytelling and data, she excels at turning local insights into scalable, measurable programs across languages and regions.
9 years of coding experience
10 years of employment as a software developer
Data Analyst, Data Analyst at Udacity
Bachelor of Arts cum laude, International Relations: Game Theory, Bachelor of Arts cum laude, International Relations: Game Theory at Mills College
Radio & Technology Apprentice, Radio Production & Engineering, Radio & Technology Apprentice, Radio Production & Engineering at KPFA
MEAN Stack Developer Camp, MEAN Stack Developer Camp at Mission Techies
Year Abroad, Development Economics & Japanese Culture, Year Abroad, Development Economics & Japanese Culture at Tokyo University of Foreign Studies
Python for Data Prototyping, Python, Python for Data Prototyping, Python at Code GIT
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