I’m Zahra Sangbori Toroghi, a data scientist and machine learning engineer with 3+ years of experience building end-to-end ML pipelines, advanced predictive models, and scalable analytical workflows. I work across tabular, time-series, NLP, and multimodal datasets, with a focus on feature engineering, statistical modeling, experiment design, and production deployment on cloud platforms (AWS, Kubernetes). I’m currently completing an MSc in Computer Science at King’s College London.
I have hands-on experience with LLMOps, RAG architectures, and distributed training, and I’m adept at translating analytical findings into actionable insights for engineering, product, and leadership teams. I’m a strong communicator who translates complex analytical findings into actionable insights for product and leadership, and I’m actively applying research-to-production workflows in cloud environments (AWS, Kubernetes).
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