MAR 2024 — MAR 2025 · REMOTE
Outlier
AI Evaluation Analyst
Source and data verification for macroeconomic indicators, central bank communications, and financial reporting; extraction of quantitative information from financial text.
PROFESSIONAL PROFILE
Economics, finance & data — in practice
I am an economist specializing in applied econometrics, financial data analysis, forecasting, and risk modeling. At Renault Group, I worked on financial data consolidation between France and Türkiye, budgeting, forecasting, and scenario analysis. My earlier experience at BNP Paribas involved supporting insurance and credit analysis, followed by economic and financial content evaluation at Outlier.
I hold a degree in Economics and Business from Université Grenoble Alpes and a thesis-based master’s degree in Finance from Dokuz Eylül University, with a GPA of 3.96/4.00. My published work covers cryptocurrency volatility and health economics. I also provide private tutoring and educational consulting.
Alongside my professional work, I am pursuing a PhD in Economics at Ankara University. My doctoral research topic is currently under consideration and has not yet been finalized.
Areas of Expertise
Applied methods grounded in professional experience and published research
Applied Econometrics
Time-series analysis, GARCH-family volatility models, forecasting, and quantitative analysis of economic and financial data using Python and Stata.
Financial Analysis & Forecasting
Financial data consolidation, budgeting, variance analysis, scenario modeling, and exchange-rate sensitivity analysis, informed by corporate finance experience in France and Türkiye.
Health Economics & Causal Inference
Research on healthcare expenditure and hospital bed utilization, with experience in overlap weighting, sensitivity analysis, and the interpretation of observational findings.
PROFESSIONAL EXPERIENCE
From financial data to economic insight
Experience across corporate finance, banking, and AI evaluation
DEC 2021 — MAY 2023 · FRANCE / TÜRKİYE
Renault Group
Financial Data Analyst
Financial data consolidation, forecasting, variance analysis, and scenario modeling using Python, Excel, and SAP.
DEC 2019 — JUN 2021 · İZMİR
BNP Paribas
Insurance & Credit Intern
Support for the analysis of financial statements, cash flow, debt, collateral, and risk indicators for corporate and SME clients.
Finance master’s 3.96 / 4.00Capital Markets Activities Level 1 licenseEnglish C2 · TOEFL 104/120French C1 · DALF
Recent Publications
Latest scholarly contributions
Hospital Bed Utilization Patterns across Healthcare Sectors in Türkiye: A Sector-Level Analysis for 2020–2024
In F. Yıldız & E. N. Sağdıç (Eds.), Maliye ve İktisat Alanında Güncel Konular. Özgür Yayınları, Chapter 10, pp. 217–230. 5 October 2026.
Examines bed occupancy, length of stay, bed turnover, and turnover intervals across public, university, and private hospitals in Türkiye during 2020–2024. Descriptive sector-year analysis and Pabon Lasso mapping identify distinct utilization patterns relevant to capacity planning.
GLP-1 Use, Downstream Medical Spending, and Acute-Care Burden Among Adults with BMI-Defined Obesity: An Overlap-Weighted MEPS Analysis
Healthcare, 14(15), 2362. 3 August 2026.
Uses overlap-weighted MEPS analyses to examine associations between GLP-1 use, medical spending, and acute-care utilization among adults with BMI-defined obesity. GLP-1 use was associated with lower non-drug and acute-care spending but higher total spending; the observational findings do not establish causality.
Accurate Conditional Variance Models for Predicting Asymmetric Volatility in Cryptocurrency Markets
İzmir Journal of Economics, 39(4), 909–930, 2024 · DOI: 10.24988/ije.1434189
Based on my master’s thesis in Finance, this article examines cryptocurrency volatility using GARCH-family models and compares analyses conducted in Python, R, and EViews.
📄 Read Paper
Published
Get in Touch
Let's discuss research opportunities and collaborations
Contact Information
Email
celebionur@protonmail.ch
celebionur@protonmail.ch
Doctoral studies
Ankara University
Department of Economics
Ankara University
Department of Economics
Connect
Research Interests
- Econometric modeling and time-series analysis
- Financial market volatility and risk management
- Health economics and healthcare expenditure
- Cryptocurrency market dynamics
- Data science and predictive analytics
- Causal inference, scenario analysis, and risk modeling