I help businesses make better decisions by turning their raw data into accurate, production-ready predictive models — from sales forecasting to customer churn detection.

• Predictive Modelling — Sales forecasting, demand prediction, price estimation
• Customer Analytics — Churn prediction, segmentation, lifetime value modelling
• NLP + ML Pipelines — Sentiment analysis integrated with predictive models
• End-to-End Delivery — Not just notebooks. Clean code, API-ready, documented.

Published research — ML-based Bitcoin & Ethereum price prediction

• Sentiment analysis pipeline: TextBlob · VADER · FinBERT · DistilRoBERTa
• Compared 9 algorithms (KNN, SVM, Random Forest, XGBoost, CatBoost, Voting Classifier)
• Best result: CatBoost 86% accuracy · Voting Classifier 87% accuracy
• Python NLP CatBoost XGBoost Time Series

Full-stack AI application — from CV upload to tailored cover letter in seconds

• Skill-gap analysis between CV and job description
• Multilingual output (TR / EN) with tone selection
• PDF/DOCX upload · automatic text extraction · multiple variants
• Next.js TypeScript FastAPI SpaCy Ollama LLM Tailwind

Languages     │ Python · SQL · TypeScript
ML / AI       │ Scikit-learn · XGBoost · CatBoost · LightGBM · PyTorch
NLP           │ FinBERT · DistilRoBERTa · SpaCy · VADER · TextBlob
Time Series   │ Prophet · ARIMA · LSTM
APIs & Deploy │ FastAPI · Streamlit · Docker · Flask
Data          │ Pandas · NumPy · Matplotlib · Seaborn · Plotly

• MSc Information Systems Engineering — Sakarya University (2026, ongoing)
• BSc Computer Engineering (GPA: 3.24) — Sivas Cumhuriyet University (2020–2024)

I'm available for freelance projects in prediction modelling, ML pipelines, and data science consulting.