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emirokay/README.md

Mustafa Emir Okay

Data Science Student

Master's in Advanced Analytics & Big Data at SGH Warsaw School of Economics with Computer Engineering background

About Me

I build end-to-end machine learning projects — from data extraction and feature engineering to model tuning, cross-validation, and evaluation.

Featured Projects

Ensemble of 4 ML models forecasting 5-day NVDA prices. Walk-forward CV, Optuna tuning, 67 features.

XGBRanker predicting F1 finishing order using learning-to-rank. FastF1 data, LOYO validation.

PySpark/Databricks pipeline improving fraud recall from 78% to 85% on imbalanced data.

Certifications

  • Data Analyst Professional (Python) — DataCamp · Credential
  • Data Analyst Associate (SQL) — DataCamp · Credential

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  1. stock-price-predictor stock-price-predictor Public

    5-day NVIDIA stock price forecast using ensemble of XGBoost/LightGBM/Ridge/ExtraTrees/Anchor with purged walk-forward CV and Optuna tuning

    Python

  2. f1-race-predictor f1-race-predictor Public

    F1 Miami GP 2026 race finishing order prediction using XGBRanker trained on FastF1 historical data with LOYO cross-validation

    Jupyter Notebook

  3. fraud-detection fraud-detection Public

    Big Data analysis using Machine Learning to identify fraudulent credit card transactions

    HTML

  4. Sudoku Sudoku Public

    Sudoku game in python/pygame with sudoku solver recursive backtracking

    Python

  5. AlphaLasso AlphaLasso Public

    Python Programming Class Project - AlphaLasso Data Analysis Pipeline

    Python

  6. WhatsApp-Clone WhatsApp-Clone Public

    Revamping MessageApp with enhanced design, improved performance, and scalable data handling.

    Swift