anna melnikov

Machine Learning engineer with a focus on NLP and big data. Experienced with leading projects, organizing work across remote and distributed teams with diverse areas of expertise. Focused on delivering high-value products with clear metrics to reach concrete business goals for organizations and their clients.

Highlights

  • Over 5 years of professional experience with Python
  • Machine Learning
    • Pytorch, Tensorflow, sklearn
  • Data processing and analysis: PySpark, Pandas, Dask
  • Cloud
    • AWS: S3, EMR, Lambda, Athena, Sagemaker, CloudWatch
    • Google Cloud Platform: Kubernetes Engine, Container Registry, Google Storage, Firestore, Stackdriver
  • Containers: Docker, Kubernetes
  • Data: MongoDB, Athena (PrestoDB), Hive, PostgreSQL
  • Web: Flask, async HTTP