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ibrahimongoren/README.md

Hi, I'm İbrahim ÖNGÖREN 👋

💼 Economist | 📊 Data Analyst | 🔍 Financial Analyst
LinkedIn • GitHub • Kaggle

🎓 Education & Background
I hold a B.A. in Economics (English) from Pamukkale University. Throughout my academic journey, I've focused on macroeconomics, financial analysis, and econometrics while gaining hands-on experience in Python, R, SQL, and Power BI.

📊 Fields of Interest

  • Econometrics & Applied Economics
  • Financial Modeling & Valuation
  • Data Science in Finance
  • Time Series Analysis
  • Algorithmic & Quantitative Trading
  • Stock Price Prediction

💻 Technical Skills
Python, SQL, Excel, Power BI, STATA, R, EViews, Pandas, NumPy, Statsmodels, Scikit-learn, Matplotlib, Keras, TensorFlow

🧪 Notable Projects

  • 📘 Phillips Curve Analysis for Turkey
    Empirical OLS-based analysis of inflation–unemployment dynamics using macroeconomic time series.

  • 📈 Applied Quantitative Finance: NVIDIA (NVDA) Stock Analysis
    This repository contains an advanced, interactive, and modular notebook focused on the quantitative financial analysis of NVIDIA Corporation (ticker: NVDA). The notebook demonstrates how to combine fundamental financial data, time-series analysis, volatility modeling, and risk simulation using Python-based tools and libraries.

Popular repositories Loading

  1. Applied-Quantitative-Finance-Example-of-NVDA Applied-Quantitative-Finance-Example-of-NVDA Public

    It is a quantitative finance application developed with advanced codes.

    Jupyter Notebook

  2. ibrahimongoren ibrahimongoren Public

  3. Phillips-Curve-Analysis-with-FRED-Data Phillips-Curve-Analysis-with-FRED-Data Public

    Phillips Curve Analysis for USA

    Jupyter Notebook

  4. Baseball-Player-Salary-Prices-Analysisand-Prediction-with-Machine-Learning-Algorithims Baseball-Player-Salary-Prices-Analysisand-Prediction-with-Machine-Learning-Algorithims Public

    Analysis and Prediction with Ensemble Models

    Jupyter Notebook