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As an R&D Process Engineer at Svante, I work on developing innovative carbon capture technologies and applications that can reduce greenhouse gas emissions and mitigate climate change. I apply data analytics to design, test, and improve the performance and efficiency of applications, various process units and equipment. I am also a Graduate Research Assistant at the University of Toronto, where I pursue my Master of Engineering degree in Chemical Engineering and Applied Chemistry. My research focuses on using machine learning to enhance predictive analytics and optimization in process engineering, with applications in industrial and environmental systems. I have conducted data collection, preprocessing, analysis, and visualization, as well as engineered robust predictive models for various scenarios and outcomes. I am passionate about sustainability, innovation, and continuous learning. I enjoy collaborating with diverse teams and stakeholders, and contributing to impactful projects and solutions. I am always eager to explore new challenges and opportunities, and to leverage my engineering and analytical skills to make a positive difference.
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