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Abdallah Alhussein

@abdallahalhussein

I build Python data pipelines and statistical analyses that turn messy real-world data into decisions.

Denmark
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What I'm looking for

I'm looking to turn messy real-world data into decisions through statistical analysis and Python pipelines, with opportunities to learn new analytics tools and contribute to quantitative, fintech, or Web3-related products.

I've built Python pipelines at LYS Technologies that cut manual data-processing effort by 80%, while calibrating and verifying sensor data to keep research datasets accurate.

At DTU, I design controlled human-subject studies and analyze subjective and physiological measurements under a rigorous statistical framework. My work on the EU-funded MEZeroE project spans data collection, statistical analysis, and reporting results to industrial partners.

For my MSc thesis, I independently introduced a machine-learning approach for complex indoor-environment datasets, generating insights beyond the original project scope.

Outside formal roles, I've built a 100,000+ line algorithmic trading system covering data ingestion, execution logic, and quantitative strategy design. I enjoy validating analysis against noisy real-world data and communicating technical findings clearly to non-technical audiences.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Technical University of Denmark logoTD

Technical University of Denmark

Master of Science, Architectural Engineering

2023 -

Grade: 12/12

Activities and societies: Introduced a machine-learning approach for analyzing complex indoor-environment datasets, supervised by Prof. Luca Zaniboni and Mandana S. Khanie.

Pursuing an MSc in Architectural Engineering with a focus on machine learning on building-performance datasets. Thesis: 'Advanced Analysis of Data from a Field Study: Indoor Well-being of Autistic People'.

Technical University of Denmark logoTD

Technical University of Denmark

Bachelor of Science, Architectural Engineering

2020 - 2023

Grade: 12/12

Activities and societies: Research on communicating technical findings clearly to non-technical audiences.

Completed a BSc in Architectural Engineering with a thesis on 'Sleep Quality and Daylight: An Investigation'. Achieved top grade of 12/12.

Tech stack

Software and tools used professionally

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