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Hi there šŸ‘‹ 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.

  • šŸ”­ So far I have worked with: Python, Numpy, Scipy, Pandas, Sklearn, Pytorch and Torchvision, Tensorflow and Keras, MLflow, OpenCV, Open3d, as well as SQL.
  • šŸŒ± Iā€™m currently learning time series with multivariante time series analysis and MLflow
  • šŸ’¬ 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.
  • šŸ“« How to reach me:

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Andrey's Projects

2d-imaging-with-matlab icon 2d-imaging-with-matlab

This MATLAB script is using mass spectra raw data to create a 2D map of signal intestines in space

data_science_python_notebooks icon data_science_python_notebooks

This repository shows my Machine learning and Data science learning journey by exploring techniques of data acquisition, cleaning and application of machine learning models

ds-challenge-s-and-s icon ds-challenge-s-and-s

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

ds-computer-vision icon ds-computer-vision

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

ds-computer-vision-2 icon ds-computer-vision-2

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

ion-count-analysis icon ion-count-analysis

Mass Spectrometry is not a quantitative method. Several in-situ approaches are known to overcome this challenge. Another technique to quantify a signal employs statistical methods such as the Poisson distribution.

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