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