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Mohanad is a data-driven analyst and technology professional with a long-standing curiosity about randomness, patterns, and how humans interpret uncertainty. Through years of working with large datasets and analytical models, he became fascinated by how structure can emerge from systems designed to be random.
When Randomness Forms Patterns is his first book. It reflects an exploratory journey into data, probability, and human perception—written not to predict outcomes, but to understand why patterns appear, how clusters form, and why the human mind is so drawn to meaning in randomness.
Mohanad believes that curiosity, critical thinking, and careful observation can reveal surprising insights—even in systems governed by chance.
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