Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 3


1. Associate Software Engineer
Financial reporting.
Responsibilities:
- Continuous interaction with the Quality Assurance, Business Analytics teams, and Product Management to design, build, and test systems.
- Working with multiple teams and clients through Jira.
- Development of financial software to facilitate treasury operations.
- Designing, planning, and overseeing major new enhancements to existing systems.
- Development enhancements, fixes, and tests.
- Designs and codes review.
- Analysis of defects and coordination of the development of fixes.
Managers approved the initiative to develop additional software to automate the workflow. At the moment I am engaged in the development of this software.
2. Data Scientist
The freelance project is oriented on US Health insurance.
Responsibilities:
- Analysis and visualization of dataset.
- Determination of an approach based on analysis results.
- Maintainance of NLP libraries and tools.
- Preprocessing of text data for NLP use.
- Development and evaluation of NLP systems for various applications.
- Improvement of NLP model performance as required.
-  NLP research.
Working with numpy, pandas, matplotlib, seaborn, re, nltk, spacy, negspacy, medspacy, sklearn, top2vec, gensim, transformers.
3. Machine Learning Engineer, co-creator
I am the co-creator of this startup, working as a machine learning engineer. The project is to provide retail stores with a system for detecting shoplifters.
A group of enterprising students decided to organize a team to create something new and unique in the market. From the very beginning, I was involved in the development of the system from the machine learning side. I conducted an in-depth analysis of the task; found a suitable dataset, preprocessed it to a suitable form; found, built, trained, and tested the model, which showed a high result.
4. Junior Data Analyst
The project is a video streaming platform for VR.
Responsibilities:
 1) Data processing:
 - getting data from the database using SQL (PostgreSQL, MongoDB);
 - data analysis, data converting into the format required for further work (Python).
 2) Data visualization:
 - creating scatter plots, bar charts, line charts, pie charts, maps, and tree maps (Tableau);
 - creating any kind of tables (Tableau).
 3) Searching and eliminating defects in the database.
 4) Creating dashboards and reports in Tableau (actualization, optimization, upgrade).
 5) Supplying up-to-date information on required issues.