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ivanokhotnikov/README.md

Hey ๐Ÿ‘‹

Here's what I've been working on:

  • ๐Ÿค– Applying machine learning to sequence modelling, predictive maintenance forecasting, timeseries anomaly detection, natual language processing
  • โ˜๏ธ Designing cloud based continuous integration, delivery and retraining workflows and setting up infrastructure
  • ๐Ÿค— Deploying the claim veracity checker built with the pubhealth pretrained longformer to the GKE cluster, Cloud Run and Hugging Face Spaces.
  • ๐Ÿ›’ Training workflow of the xgboost customer classifier for the marketing campaign with synthetic marketing and mortgage data

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  1. claim_veracity claim_veracity Public

    Training and inference code for the claim veracity checker built on Longformer-4096 tuned to PUBHEALTH

    Python

  2. customer_classification customer_classification Public

    Training and tuning of xgboost to classify customers with synthetic campaign and mortgage data

    Python

  3. test_rig_forecast_training test_rig_forecast_training Public

    Test rig condition monitoring and predictive maintenance. Training

    Python

  4. test_rig_local_training test_rig_local_training Public

    Local training, tuning, experimentation on the test rig data

    Python

  5. test_rig_serving test_rig_serving Public

    Test rig condition monitoring and predictive maintenance. Serving

    Python