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Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw
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andrey101010/README.md

Hi there 👋 my name is Andrey, I have a PhD in physical chemistry and I am specialized on instrumentation development with a strong focus on building analysis pipelines for benchmarking.

  • 🔭 So far I have worked with: Python, Numpy, Scipy, Pandas, Sklearn, Pytorch and Torchvision, Tensorflow and Keras, MLflow, OpenCV, Open3d, as well as SQL.
  • 🌱 I’m currently learning time series with multivariante time series analysis and MLflow
  • 💬 Ask me how to build analysis pipelines in Python to evaluate the performance of a technical instrument. Also, if you want to know how to model complex physical phenomena, you are in the right place.
  • 📫 How to reach me:

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  1. ds-predicitive-maintenace ds-predicitive-maintenace Public

    This script analyses pump failures and creates ML algorithm to predict future fallouts.

    Jupyter Notebook

  2. Mass-Spectrometric-Imaging Mass-Spectrometric-Imaging Public

    This MATLAB script is used to create 2D femtosecond laser mass spectrometric images

    MATLAB 1

  3. ds-computer-vision ds-computer-vision Public template

    This Repo shows Pytorch in action. The library is used to perform image classification on the MNIST data set and the ML results are monitored with MLflow

    Jupyter Notebook

  4. ds-time-series-forecasting ds-time-series-forecasting Public

    This repo explores a multivariate time series with TensorFlow

    Jupyter Notebook

  5. ds-challenge-S-and-S ds-challenge-S-and-S Public

    3 Data Science Challenges: Crop yield prediction, Weld defects detection and point cloud ground segmentation

    Jupyter Notebook 1 1

  6. Germany-Rent-Prediction-Pipeline Germany-Rent-Prediction-Pipeline Public

    Python