- 📊 Data Scientist & Applied Machine Learning Engineer working with real-world data and production-ready analytical systems
- 🎓 PhD in Economics with expertise in econometrics, causal inference, and quantitative modeling
- 🐍 Building data systems using Python, SQL, R, and Stata
- 🤖 Developing end-to-end ML & NLP pipelines using GPT, BERT, BART, and M2M-100
- 🔎 Experienced in web scraping, automated data collection, and large-scale data processing
- 📈 Applying machine learning, regression, and statistical modeling to generate decision-ready insights
- ⚙️ Interested in data products, AI systems, and applied machine learning
- 💻 Also building lightweight interfaces with React and JavaScript for data-driven applications
- 🤝 Open to collaboration on AI, machine learning, and data science projects
- 📬 Reach me at: mzlmkrts@gmail.com
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pandas-rag-assistant
pandas-rag-assistant PublicA fully local, privacy-focused RAG assistant for Pandas documentation. Features an inspectable ChromaDB vector store, FastAPI backend, React UI, and local Llama 3 running via Ollama with zero exter…
JavaScript
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AI-CV-Generator
AI-CV-Generator PublicAn intelligent command-line tool that transforms your structured profile.json and a job description into a tailored, ATS-optimized CV and personalized cover letter. Powered by the OpenAI API, the s…
Python
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Energy-Consumption-Prediction-ML
Energy-Consumption-Prediction-ML PublicEnd-to-end time-series energy demand forecasting pipeline with Ridge regression, XGBoost tuning, SHAP explainability, and distribution shift analysis using real-world electricity data (France, 2006…
Python
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crypto-portfolio-risk-analysis
crypto-portfolio-risk-analysis PublicA quantitative crypto analytics project that fetches two years of daily price data for the top 20 USDT trading pairs from Binance, computes return correlations, applies hierarchical clustering (War…
Jupyter Notebook
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