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Graduated from Econometrics department
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Graduated from Econometrics department
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mikbalyilmaz/README.md

Chosen from the list today;

TARKAN - Kış Güneşi (Official Music Video)
🎵 TARKAN - Kış Güneşi (Official Music Video)

Muhammed İkbal Yılmaz

I graduated from Ankara Hacı Bayram Veli University in June 2024 with a degree in Econometrics. During my studies, I focused deeply on areas like financial econometrics, econometric theory, time series, and statistical data analysis. My quantitative foundation is built on university-level calculus, linear algebra, and statistics. I also had the opportunity to represent my university and present my research at various conferences, which gave me valuable early-stage academic experience. Welcome to my GitHub space—feel free to explore my projects!

Research & Experience

  • TÜBİTAK 2209-A (2023–2024) — Brand Preference, Loyalty & Trust: Applied Statistical Study - UYIK 2024 — Statistical analysis of brand perception among university students - IDSSC 2024 — Classification of Brand Perception Using Random Forest ## Tools Python (Jupyter), R, Stata, SPSS, LaTeX
    (Always learning, adapting, and expanding my technical stack.)

Contact

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  1. calculus calculus Public

    An applied and visual companion to Tom M. Apostol’s Calculus (Vol. 1–2). Concepts and exercises are explored using Python and Jupyter notebooks through numerical experiments, symbolic computations,…

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  2. Return-Dynamics-of-ASELSAN-under-Global-and-Sovereign-Risk-Factors Return-Dynamics-of-ASELSAN-under-Global-and-Sovereign-Risk-Factors Public

    This project studies the predictability of ASELSAN stock returns using a multivariate ARX framework and modern machine learning models. It combines macro-financial variables, robustness checks, and…

    Jupyter Notebook 1

  3. Classification-Brand-Perception-using-RF-on-BP-BL-BT Classification-Brand-Perception-using-RF-on-BP-BL-BT Public

    This study applies Random Forest classification to analyze brand preference, loyalty, and trust among university students. Using survey data and SMOTE for class imbalance, the research highlights s…

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  4. bitcoin-macro-blueml bitcoin-macro-blueml Public

    An econometric and machine learning analysis of Bitcoin price drivers, testing Gauss-Markov assumptions (BLUE) and comparing OLS with Random Forest models.

    Jupyter Notebook 1

  5. ADF_Unit_Root ADF_Unit_Root Public

    Jupyter Notebook on USD/Credit and CPI (inflation) using time series, visualization, and stats. Built with pandas, matplotlib/seaborn, and statsmodels, it shows links between exchange rates, credit…

    Jupyter Notebook 1

  6. coin-flipping-exercise coin-flipping-exercise Public

    This project visualizes the Law of Large Numbers (LLN) and the Central Limit Theorem (CLT) using a coin toss experiment. As the number of trials increases, the probability converges to 0.5, and the…

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