Data Scientist & Analyst · Clinical & Scientific Data · ML Engineering · LLM Integration
13+ years in regulated clinical and scientific environments — now building intelligent data pipelines, ML models, and LLM-powered tools.
- 🎓 M.Sc. Data Science candidate @ Singidunum University
- 🏥 Background in nursing + analytical chemistry — I understand the data and the domain
- 🤖 Passionate about applying ML and LLMs to real clinical and scientific problems
- 🌍 Based in Serbia · Open to remote EEA/EU · Available for roles in 🇩🇪 🇳🇴 🇦🇹
- 💬 Languages: Serbian · Norwegian · English
Languages & Data
Machine Learning & AI
Tools & Infrastructure
| Project | Description | Stack |
|---|---|---|
| 🧠 LLM Clinical Decision Support | NLP pipeline using GPT-4o for clinical decision support with zero-shot classification | Python · GPT-4o · NLP |
| 💊 Anti-Cancer Drug Effectiveness | ML pipeline on GDSC biomedical data — RF & Gradient Boosting models, large-scale with Dask | Python · Dask · scikit-learn |
| 📰 Fake News: ML vs LLM | Comparative study of traditional ML vs GPT-4o on fake news detection | Python · GPT-4o · NLP |
| 📊 Jobs-in-Demand EDA | EDA on 100k+ LinkedIn job postings — skill demand trends across data roles | Python · Pandas · Visualization |
| 🔬 IR Spectra Clustering | PCA + KMeans clustering on infrared spectra data — domain expertise meets ML | Python · scikit-learn · Chemistry |
| 🤖 AI Ops Automation | Automated operations framework integrating LLM pipelines | Python · LLM · Automation |
"Data is most powerful when it comes with domain understanding."