Position: Machine Learning Engineer / Computer Vision Engineer / Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 4


Data scientist at PrivatBank 09/2020 - current time
- end-to-end data scientist: EDA, preparing datasets, model training/validating/testing, deployment, monitoring
- Computer vision projects: FaceID (face detection, face recognition, liveness detection), Credit card number recognition, Documents detection and classification, Validation of nude content, sensitive content in images etc.
- No computer vision projects: user's behavioral analytics for Privat24 app, AFS (anti fraud system for p2p)
- Flask web services development
- Model deployment: ONNX, Tensorserver, Torchserver, AWS Sagemaker
- web parsing 

EOS Data Analytics - 1.5 years 
- Experience in processing satellite images (multispectrum, radar), raster and vector data.
 - Experience in data markup and formation of training datasets in formats: CSV, JSON, XML, HDF5.
 - Development of tools for task automation: image classification, object detection, semantic segmentation etc.
 - Experience in unit testing.
 - Technologies, libraries/frameworks: Tensorflow, PyTorch, Keras, Numpy, Pandas, GeoPandas, keras-retinanet, darknet, GDAL etc.

 Trident Defense - 6 months
 - Image/Video processing
 - Development of a mini web application for Raspberry Pi, TinkerBoard, LattePanda (Opencv, Flask)
 - Flask, Django, Docker, MapBox, HTML, CSS