SItwala Mundia is an experienced data scientist and electronics engineer with over four years of expertise in machine learning, natural language processing (NLP), and RF engineering. Recognized as one of the top 1% data scientists on Zindi, a leading data science competitions platform, he has demonstrated exceptional skills in solving real-world problems. He has served as a research assistant at the University of Pretoria's Data Science for Social Impact (DSFSI) group, where he focused on developing innovative solutions for low-resource language research and analytics. With a strong background in freelance and consultancy roles, he has successfully built and deployed NLP models and supported analytics products, particularly in open-source intelligence. His multidisciplinary skill set bridges data science and engineering, making him adept at tackling complex challenges across various domains.
Visit websiteJanuary 2025
Zambia
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