Position: Data Science Engineer
Company: Otakoyi
Experience required: 3y
Category: Data Science
English level: intermediate
Published: 2020-06-01T00:00:00+03:00

Project Details 
This is a startup from LA in Health-care and Legal domain.
Currently, the project phase 1 is done and successfully works. The project is launched, however yet is not used by the end Customers (lawyers). In a nutshell, this is the Web App that extracts, processes, analyzes and manages medical documents The user downloads various medical docks (both handwritten and printed) through it and the system recognizes, analyzes and sorts them.

Proficiency competences:
- At least 3 years of experience in Data Science / Machine Learning field
- Solid understanding of classic and cutting-edge Natural Language techniques, including BERT, Attention Networks, LSTMs
- Hands-on experience with such OCR libraries as Tesseract, PyOCR, OpenCV, PyTorch
- Extensive work experiences utilizing CNN
- Previous participation in OCR and NLP projects

Responsibilities 
Besides current system improvements, there are also new tasks development in the pipeline. Aim for Phase 2:
- separation and analysis of large documents consisting of several documents,
- improving the analysis of small documents,
- train the system to recognize a new type of document - medical bills,
- improvement of extraction in overall. The system should analyze only relevant information from the documents, irrelevant information should not be analyzed.
- train the system to show the page from which the information was extracted,
- improve the quality of extracted information (remove duplicates and spelling mistakes),
- make an extract from Columned docs and make a smart search.

Current Project’s Tech Stack:

Business Intelligence part  - Python
Back-end: Kotlin, Spring/Spring Boot/Spring Security, ElasticSearch, Dropwizard, Tesseract, Docx4j, PDFBox.
Front-end:  ReactJS, mix of TS and Flow, Redux, Redux-Form, CSS-in-JS, Webpack, Yup
DB: ElasticSearch (for now)*, in-memory DB. 
Hosting: Google Cloud using Jenkins, Terraform, Kibana, OCR Service (x3 Docker Containers behind Nginx)