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Yasmin Yazdi
Yasmin Yazdi is a Data Scientist & Machine Learning Operations Officer at Data-Pop Alliance, where she blends her multifaceted experiences to ensure data acts as a catalyst for societal and environmental transformation. Her academic roots, established at the University of Cambridge (MPhil) and Royal Holloway, University of London (MSc), set a foundation of in-depth inquiry and exploration. Venturing into Data Science & Machine Learning at Spiced Academy and Constructor Learning marked Yasmin’s pivot to a digital-forward approach.
With stints at UNEP Convention on Migratory Species and a pivotal role in crafting an agricultural plan for wetland farmers, she’s navigated from the verdant marshes of environmental project coordination to the binary terrain of data science. At one juncture, Yasmin was deep into merging environmental consideration with electric aviation.
A conservationist at heart, an environmental project coordinator by profession, and now, a data scientist in action, Yasmin’s diverse experiences give her an unparalleled vantage point. This unique perspective helps her translate raw data into actionable insights, aimed at making our world a tad greener, a bit more equal.
Beyond her professional accomplishments, Yasmin has a genuine interest in urban farming and regenerative agriculture. Also, her interest in entomo culture stems from recognizing its potential as a cleaner protein source for both humans and livestock, underscoring her vision for a sustainable future.