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


•• Application for improving sleep quality: participation in the development of sound classification pipeline (experiment design, data collection/labeling planning, and supervision, data preprocessing, modeling, running experiments, etc.), participation in the development and testing of voice activity detection algorithm, silence suppression algorithms, etc.
•• Application for learning foreign languages: mispronunciation detection. 
•• Malware detection & Data labeling Project: with the first aim of developing ML-based algorithms to detect malicious files for various file-types (e.g. Microsoft files, pdf, zip, etc.). And later to create ML data classification tool for an unsupervised data tagging process. I was responsible for dataset research and collection, creation of feature extraction module, performance optimization, file-type verification and extension matching, participated in modeling, evaluation, deployment, etc. (subject to NDA, no further details available). 
•• Research and development (under NDA): Retail Consulting discovery project; Customer Lifetime Value prediction Case Study; prediction of a Customer Response to renewal offers; Tags generation from the images of houses (object detection) PoC, etc. 
•• Medical data analysis accelerator development: EEG and HRV time series modeling and analysis for epileptiform seizure activity characterization in epileptic children, in perspective for further seizure detection/prediction. Writing papers, attending conferences, presenting research. 
•• Chatbot development (custom web, Telegram, FB Messenger, Google Assistant, Amazon): UX design, chatbot backend development, NLP Agent deployment and training, performance testing, chatbot analytics collection and processing, support.
•• Research and development of ML solutions for Kaggle competitions.
•• Participation in pre-sales research and project estimations.