Flagship projectIn Development
ATHENA
Understand the market before you trade it.
An AI-powered financial research and decision intelligence platform. Built to understand the market before you trade it.
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- Data
- Intelligence
- AI
- Decision
Financial Data Analyst · Quantitative Finance · AI
Turning finance into data, and research into decisions.
Combining banking and finance experience with modern data science, Python and artificial intelligence to produce quantitative analysis.
Selected Work
Research Areas
The four areas I work in; each one links to the related projects.
Quantitative Finance
Modeling market data with quantitative methods; building risk and decision frameworks.
Explore in projectsData Science
Collecting, cleaning and analyzing data to turn it into decision-supporting insight.
Explore in projectsAI
Strengthening research and decision processes with RAG, agents and reasoning.
Explore in projectsDecision Systems
Frameworks that turn research output into a reasoned, traceable decision context.
Explore in ATHENA
Working Method
The four steps that guide my work.
Data
Data is collected and cleaned with its source, scope and limitations documented.
Research
The hypothesis is written down; method and assumptions stay traceable.
Evaluation
Findings are tested against opposing evidence; uncertainty is not hidden.
Decision
The result becomes a decision context, together with its reasoning.
Profile
- İzmir
- Data science · Quantitative finance · AI
- Banking and finance, 10+ years
- Economics (BA), Marmara UniversityInternational Business (MSc)
I am a finance and data analyst based in İzmir, combining more than a decade of banking and finance experience with data science, Python and quantitative methods.
Writing
Research notes and long-form writing.
The Python Revolution in Financial Analysis: Screening Thousands of Stocks with AI and Data Science
How Python, Pandas and yfinance turn an Excel-bound workflow into a repeatable stock screener — and where machine learning genuinely adds value.
Data-Driven Investing on Borsa Istanbul (BIST): The End of Tips, the Rise of Analysis
How macroeconomic data, balance-sheet detail and algorithmic models are replacing tip culture on BIST — and what it takes to move from player to investor.
Contact
If you have a question, a collaboration or a research idea, get in touch.
Reach out by email for collaborations, consulting and questions.
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