I leverage my foundation in Mathematical Engineering to build advanced deep learning and data-driven models. Having pursued an MBA, I’ve realized that most business hurdles are essentially optimization tasks. My ability to approach these problems from both a technical and a strategic perspective significantly enhances my problem-solving efficiency.
- Demand Forecasting — Retail inventory optimization with time series models
- NLP / Transformers — Experiments on text classification and summarization
- Decision Modeling — Analyzing operational data from MBA projects with ML
Python ████████████░░ Daily Use
PyTorch ████████░░░░░░ Deep learning projects
scikit-learn █████████░░░░░ Classic ML pipeline
Swift █████████░░░░░ iOS development
SQL █████████░░░░░ Data Query and Analysis
50 products, 10 stores, 5 years of sales data. I tried several different models (LightGBM, Prophet, LSTM) and compared the results. Making a decision turned out to be harder than I expected.
Python LightGBM Time Series Forecasting
- 📐 Mathematical Engineering — Fundamentals: optimization, statistics, quantitative methods
- 🎓 Global MBA — Strategy, operations management, decision analysis
- 🤖 Deep Learning — CV and NLP projects with PyTorch
LinkedIn · ozanayildiz@gmail.com
Personal Website · www.ozanayildiz.com
You can contact with me for project collaborations or technical discussions.
İstanbul, Türkiye