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ivanokhotnikov/README.md

Hey 👋

Here's what I've been working on:

  • 🤖 Applying machine learning to sequence modelling, predictive maintenance forecasting, timeseries anomaly detection, natual language processing
  • ☁️ Designing cloud based continuous integration, delivery and retraining workflows and setting up infrastructure
  • 🤗 Deploying the claim veracity checker built with the pubhealthpretrained longformer to the GKE cluster, Cloud Run and Hugging Face Spaces.
  • 🛒 Training workflow of the xgboost customer classifier for the marketing campaign with synthetic marketing and mortgage data

Pinned Loading

  1. claim_veracityclaim_veracityPublic

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

    Python

  2. customer_classificationcustomer_classificationPublic

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

    Python

  3. test_rig_forecast_trainingtest_rig_forecast_trainingPublic

    Test rig condition monitoring and predictive maintenance. Training

    Python

  4. test_rig_local_trainingtest_rig_local_trainingPublic

    Local training, tuning, experimentation on the test rig data

    Python

  5. test_rig_servingtest_rig_servingPublic

    Test rig condition monitoring and predictive maintenance. Serving

    Python