Position: Senior Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 5

Master's degree in Computer Science;
TOP30% on Kaggle competition Global Wheat Detection Computer Vision problem using FasterRCNN and EfficientNet;
TOP50% on Kaggle competition Plant Pathology Computer vision problem using resnet18.
8+ YoE in Software Engineering;
5+ YoE in Data Science & Machine Learning;
MSc in Computer Science;
English: Upper-Intermediate.

Projects:
- Golf club shot detection: data ingestion, feature engineering, model training/validation, model deployment;
- Machine Learning system in Healthcare: fault prediction in dialysis system;
- Data Engineering: Telecom ETL pipelines migration to cloud;
- CRM rule-based lead scoring.

Python 3.6: PyTorch, Pandas, NumPy, Scikit-learn, OpenCV;
Cloud computing: AWS, GCP;
Databases: MySQL, PostgreSQL, Oracle, Amazon Athena, Cassandra;
Amazon Web Services: boto3, AWS S3, AWS Athena;
Google Cloud Platform: BigQuery, Google Cloud Storage, Data Fusion;
Data Visualization: Matplotlib, Seaborn, Bokeh, Tableau;
Project management: Scrum, Kanban, CRISP-DM;
Other: Jupyter Notebooks, Git, Linux, Ansible.
Looking for a job in a team of data science professionals to share knowledge.