00 · hello
Daniel Zahereldeen
Software · Data Science · AI · Reykjavík, Iceland
I like knowing how things really work, then turning that understanding into something useful.
Computer Science graduate building useful, well-crafted software, with a strong pull toward Data Science, Machine Learning, and AI.
- Research with ETH Zürich
- LS Retail · Future Leaders Program
- CySec · CTF competitor
- BSc Computer Science · ~9.1/10
01 · about
About me
I’m a Computer Science graduate from Reykjavík University with a deep curiosity for problem-solving and a strong focus on data science, machine learning, AI, and mathematics. Alongside my studies I spent two years as a full-stack developer at LS Retail, where I was selected into their competitive Future Leaders Program.
Most recently I completed a research project in collaboration with ETH Zürich, with a paper in preparation for submission to a peer-reviewed conference. I’m also drawn to cybersecurity, with hands-on CTF experience, and I’m looking for a team where I can keep growing and make a meaningful contribution.
- Status
- Open to roles
- Based
- Reykjavík, Iceland
- Focus
- Data Science · ML · AI · Software
- Languages
- English · AdvancedArabic · NativeIcelandic · Intermediate
02 · thesis
Reykjavík University × ETH Zürich · causal inference
Analysis of Wind Farms Impact on Property Prices Using Difference-in-Differences
My BSc thesis took on a contested question: does living near a wind farm change what your home is worth? Using a difference-in-differences design across southern Great Britain, I found the nearest homes sell for about 4 percent less, and that actually seeing the turbines matters on top of distance.
03 · experience
Where I’ve worked
- May 2024 – Present
Full-Stack Developer· LS Retail
Reykjavík, Iceland
Building and maintaining full-stack features for LS Retail's internal DevOps tooling across the Update Service and Self Service platforms. Selected into their competitive Future Leaders Program.
- Shipped package-management and deployment workflows for POS and retail systems.
- Contributed to release planning and CI/CD pipeline integration.
- Worked end-to-end with ASP.NET Core, Vue 3 + Vuetify, SQL Server, and Azure DevOps.
- ASP.NET Core
- Vue 3
- SQL Server
- Azure DevOps
- Aug 2025 – Present
Teaching Assistant· Reykjavík University
Reykjavík, Iceland
Teaching assistant for “Calculus for Computer Science” and “Discrete Mathematics 2”, driven by a genuine passion for mathematics and for helping students build strong foundations.
- Prepared course materials and led tutorial sessions.
- Graded assignments and exams across two mathematics courses.
- Mathematics
- Teaching
beyond software
Co-Owner· Iða Zimsen
Reykjavík, Iceland
A bookshop and coffee shop in downtown Reykjavík that I took on after starting there as a barista. I run the operations, finances, and team alongside my full-time work in software.
- Business
- Operations
- Hospitality
04 · education
What I studied
BSc Computer Science, AI & ML emphasis
Aug 2023 – May 2026Reykjavík University · Reykjavík, Iceland
- Final grade ~9.1 / 10.
- Coursework: Machine Learning, Artificial Intelligence, Databases, Operating Systems, Computer Networks, Cybersecurity, and more.
- Final thesis completed in collaboration with ETH Zürich.
Dentistry & Pre-Med Studies
Sep 2020 – Apr 2022Damascus University · Damascus, Syria
- Transferred to Computer Science to follow a stronger interest in software, and technology.
Highschool education
2017 – 2020Al-Basel School of Outstanding Students
- Graduated top of my class with a final grade of 96.97%.
05 · skills
The toolkit
Languages
- Python
- SQL
- C#
- TypeScript
- JavaScript
Data Science & AI
- scikit-learn
- Pandas
- GeoPandas
- Matplotlib
- Seaborn
- Jupyter
Web
- ASP.NET Core
- Vue 3
- Vuetify
- HTML
- CSS
Tooling
- Git
- Azure DevOps
- CI/CD
- SQL Server
Security
- CTF
- Recon / OSINT
- Network analysis
06 · playground
Train a neural network
The field behind this page is a decorative neural net. This one is real. A tiny network learns to separate two classes of points using nothing but gradient descent, live in your browser: pick a pattern (or click the canvas to add your own points), then train.
your turn: add points, then train
epoch 0 · loss — · acc —
[ a real 49-parameter network, trained in your browser ]
07 · highlights
Things I’ve built
[ 01 ]
Analysis of Wind Farms Impact on Property Prices Using Difference-in-Differences
A Reykjavík University × ETH Zürich research thesis measuring how wind farms move nearby house prices. Homes within 1 km sell for about 4 percent less, and actually seeing the turbines carries a penalty of its own, reaching 6 percent when many fill the view.
- Python
- Causal Inference
- Geospatial
- Econometrics
- Research
[ 02 ]
Cybersecurity & CTF
Competitive CTF play, a university security club, and hands-on offensive-security training, from network traffic analysis to bug-bounty recon.
- Security
- CTF
- Networking
- Recon
[ 03 ]
Programming & Innovation Contests
Algorithmic problem-solving under time pressure at the Icelandic University Programming Contest, plus a 3rd-place finish in RU’s innovation & entrepreneurship competition.
- Algorithms
- Competition
- Entrepreneurship
08 · interests
Off the clock
Two systems I like to take apart when I am not building software. A chessboard and a Formula 1 lap. The instinct behind both is the same, which is to understand how a thing really works, learn from mistakes, try to outsmart everyone else, and then enjoy watching it work.
09 · contact
Let’s talk
I’m open to roles and collaborations. The best way to reach me is by email.