About me
As a recent MSc graduate in Applied Artificial Intelligence and Data Analytics, I blend analytical rigor with AI innovation to solve complex problems. My academic journey, rooted in engineering and advanced AI coursework, has equipped me to build predictive models, automate data workflows, and design intuitive visualizations—always with a focus on actionable outcomes.
From optimizing machine learning frameworks to uncovering hidden patterns in datasets, I thrive at the intersection of data and technology. My projects reflect this balance: leveraging deep learning principles for predictive analytics while translating insights into clear, strategic narratives for stakeholders.
Certified in data analytics and driven by curiosity, I believe in lifelong learning to stay ahead in evolving fields like AI. Collaboration fuels my work—whether refining algorithms, streamlining processes, or mentoring peers—and I aim to contribute solutions that drive measurable impact.
Let’s connect and explore how data and AI can shape smarter decisions!
Key skills
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Python
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Excel
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SQL
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Power BI
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Scikit-Learn
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Tensorflow
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Pytorch
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Git/Git-Hub
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Streamlit