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Navidah Amiri

@navidahamiri

Computational science and bioinformatics master's student at University of Oslo, benchmarking algorithms for causal structure learning.

Norway
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At University of Oslo, I’m pursuing a master’s degree in Computational Science, Bioinformatics, with a thesis on benchmarking algorithms for causal structure learning.

My studies include causality and machine learning through the NORA Summer School 2026. I also completed the BCG X Data Science job simulation, covering exploratory data analysis, data cleaning, feature engineering, modeling, and evaluation.

At Inditex Store, Zara, I manage stock delivery and replenishment while maintaining an organized stockroom. I also assist customers and help keep products presented according to visual merchandising standards.

As an International Buddy and a member of IAESTE at UiO, I participate in planning and organizing events for students. With IAESTE, I also work on strategies to connect with businesses for career days.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Oslo logoUO

University of Oslo

Master's degree program, Computational Science, Bioinformatics

2025 -

Master's degree program in Computational Science with a specialization in Bioinformatics. Thesis title: Benchmarking Algorithms for Causal Structure learning.

NO

NORA.ai

Summer Course, Causality and Machine Learning

2026 - 2026

Summer course on Causality and Machine Learning.

Forage logoFO

Forage

BCG X Data Science job simulation, Data Science

2026 - 2026

Completed the BCG X Data Science job simulation on Forage, covering business problem framing, exploratory data analysis, data cleaning, feature engineering, modeling, and evaluation.

University of Oslo logoUO

University of Oslo

Bachelor's degree program, Mathematics with Informatics

2019 - 2022

Bachelor's degree program in Mathematics with Informatics, with a specialization in Data Science.

Tech stack

Software and tools used professionally

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