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Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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AhmetZamanis/README.md

I am a freelance data scientist, constantly working to improve my skills and learn new methods. I mainly use Python for my work, and also have experience with R. I am especially focused on working with time series data & models.

I became interested in data science and machine learning during my MSc studies in International Management, at Bocconi University. After working as a business analyst in niche consulting startups, I decided to focus on developing my skills as a data scientist.

You can view a portfolio of my personal projects on my Github page.

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  1. ahmetzamanis.github.io ahmetzamanis.github.io Public

    Forked from evanca/quick-portfolio

    Portfolio of my data science projects & reports.

    HTML

  2. DeepLearningEnergyForecasting DeepLearningEnergyForecasting Public

    Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning. Deployment of the Transformer model using Docker, with GPU support.

    Jupyter Notebook

  3. WeatherAnomalyDetectionClassification WeatherAnomalyDetectionClassification Public

    Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.

    Python 3

  4. KaggleStoreSales KaggleStoreSales Public

    Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.

    Python 2

  5. BayesianModelingExperiments BayesianModelingExperiments Public

    Experimenting with Bayesian modeling using the PyMC package.

    Jupyter Notebook

  6. UsedCarKicksClassification UsedCarKicksClassification Public

    Imbalanced classification with scikit-learn and PyTorch Lightning.

    Python 1