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🔭 Focus: taking ML projects from data to demo, keeping evaluation honest and docs runnable
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🌱 Currently: working on new projects and maintaining our course site
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💬 Ask me about: turning messy data into something others can run and understand
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📫 Portfolio, LinkedIn, Email and CV below
- 🎓 Data Science & Artificial Intelligence student at Faculty of Electrical Engineering (ETF), University of Sarajevo (Oct 2024 - Jun 2027, avg 8/10)
- 🧠 I build practical ML systems end to end: framing the problem, checking the data, training and evaluating, then shipping a simple demo with docs
- 🛠️ I also maintain the official course site for our program, keeping it useful for students and staff
- ⚡ Outside ML: Sarajevo hikes, board games, personal builds
Full tool list is in the next section, so this part stays about the work itself.
Full list lives here. Prose above stays tool-light on purpose.
Ongoing habits, rarely needs edits:
- Working on new projects adding them to the portfolio as they finish
- Keeping evaluations honest and READMEs runnable
- Maintaining the course site for real users
ML and Data Science internships (EU + remote) - reachable at ehadziabdi1@etf.unsa.ba