Work Areas
Focused on models, signals and useful systems.
I spend my time turning theory into experiments: notebooks, small tools, model evaluations, visual explanations and public projects.
Data Science · Machine Learning · KU
ALF EMIL
Data science student building practical projects with machine learning, statistics, deep learning and clear data storytelling.
Machine Learning
Features, evaluation, model iteration and practical pipelines.
Statistics
Probability, inference, uncertainty and decision-making under noise.
Deep Learning
Neural networks, representations and experimental model design.
Data Storytelling
Visuals and explanations that make data easier to read.
Selected Projects
Projects
A compact overview of the channels, code and project worlds I am building.
Primary Links