🎓 B.Sc. in Actuarial Sciences — Hacettepe University
📋 Completed Level 2 Actuarial Examinations
📐 Actuarial Analytics — Insurance pricing, reserving & risk modeling
I combine actuarial rigor with modern data science to build reproducible, end-to-end analytical pipelines — from risk modeling and predictive analytics to interactive decision-support dashboards.
Currently seeking opportunities in actuarial consulting, insurance analytics, and quantitative risk management.
My focus is insurance pricing, reserving and transparent model validation. Start with these three:
| Project | What it demonstrates | Explore |
|---|---|---|
| IBNR Reserving | Incurred chain ladder, segmented development triangles and historical backtests. Includes synthetic-data and CAS conversion checks. | Method & validation |
| ADAS Pricing · Vol 2 | Poisson/Gamma pricing, interactions and Gini/lift analysis on a synthetic portfolio. | Live demo |
| MC-AWARE | Independent research on majority-class traps and anti-predictive behavior in the tested BIST assets and periods. | Dashboard |
| Project | Focus |
|---|---|
| ADAS Pricing · Vol 1 | The original synthetic-data frequency–severity demonstration |
| Risk Scoring Dashboard | Logistic claim-probability model; reported in-sample AUC 0.828, not held-out validation |
| Direction Forecasting | ARIMA, LSTM and CNN research on BIST and pension-fund direction |
| Project Ascend · Live | A validated 200-movement graph and deterministic progression engine; local-first React/TypeScript PWA |
| İfade · Install | 5,750 English words and phrases, with Turkish meanings and an iPhone learning widget |
How to read the results: synthetic demonstrations, in-sample diagnostics and held-out experiments are labelled separately. Each repository describes its data, validation limits and reproduction requirements; a live demo is not evidence of production readiness.
Languages & Querying
Machine Learning & AI
Supervised & Unsupervised Learning · Deep Learning (LSTM · GRU · CNN · Transformer) · Time Series Forecasting · Classification & Regression
Actuarial & Statistical Modeling
GLM (Poisson · Gamma · Logistic) · Chain Ladder & IBNR · Development Triangles · Life & Non-Life Insurance Modeling · Loss Reserving · Survival Analysis · Frequency-Severity Models · Risk Classification
Visualization & Reporting
Software & Tooling
Graph modeling (DAG) · Data validation pipelines · Test-driven development · CI/CD · Local-first applications
Learning interests
🧠 AI & Advanced Analytics — Explainable AI (XAI) for insurance decisions · NLP for claims processing · Gradient Boosting (XGBoost, LightGBM) for risk scoring
📊 Actuarial Innovation — Telematics-based pricing · Climate risk modeling · Stochastic reserving · IFRS 17 reporting automation
🔧 Data Engineering — ETL pipeline design · Cloud-based actuarial workflows · Automated reporting systems
📈 Quantitative Finance — Portfolio optimization · Credit risk modeling · Algorithmic trading strategies
🎓 Professional Growth — Advanced actuarial exams · SOA/IFoA pathway exploration · Kaggle competitions
"There is nothing impossible to him who will try."
— Alexander the Great
Open to actuarial analyst, insurance analytics, and quantitative risk roles — let's connect!