Mehdi Jamali
Data Science & Business Analytics
I turn data into clarity — building models and strategies that help organisations make better decisions.
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01 Work
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Oil Spill Simulation
A mesh-based numerical model of how an oil slick spreads through a coastal bay — and how much of it reaches the fishing grounds.
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Applied Deep Learning
Four deep learning systems — image classification, pixel-level segmentation, generative modelling and sentiment analysis — built, diagnosed and explained.
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Energy Data Pipeline
An end-to-end data engineering and analytics app for the Norwegian power system — from live APIs to Cassandra, Spark and MongoDB to an interactive Streamlit dashboard.
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02 About
I'm an integrated Master's student in Data Science at the Norwegian University of Life Sciences (NMBU), specialising in Business Analytics, based in Oslo. My work sits between complex datasets and strategic decisions: machine learning and deep learning, numerical simulation, data engineering pipelines and operations research. I care about models that can be explained, validated and acted on. Beyond the code, I bring leadership from chairing student and youth organisations, local-government experience as a deputy district council member, and the communication skills of a teaching assistant.
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