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


EDUCATIONAL BACKGROUND
Ivan Franko National University of Lviv

2015-2019| Bachelors degree Of Applied mathematics (Honours)
- Average mark - 94/100
- Studied algorithms, web scrapping, optimization
techniques

2019-2020| Masters degree Of Applied mathematics (Honours)
- Average mark - 93/100
- Studied advanced maths, statistics, mathematical modeling and analysis

WORK EXPERIENCE (PROJECTS)
1. Product similarity challenge | July 2019 - March 2020
Responsibilities:
- Data mining and cleansing
- Combining different algorithms and models while working with such data types: textual, numeric, graphic
- Applying NLP models to measure semantic similarity
between sentences
- Determinating similarity of two images by using an ensemble of pre-trained models

2. Data management platform | April 2020 - November 2021
Responsibilities:
- Building extractors for different kinds of data sources including databases (MySql, Postgres), APIs (Facebook, Google), cloud object storages (S3)
- Developing algorithms for data normalization
- Building asynchronous solutions
- Optimizing data extraction from relational databases
- Creating dashboards in Grafana based on Postgressources for monitoring purposes
- Taking management responsibilities such as mentoring and supporting newcomers, assisting the team in building solutions, performing a code review

BPMN diagram parser | December 2021 - present
- Enriching existing datasets by labeling real data and creating
generators
- Finding an appropriate approach for arrow detection (solving the issue
of small objects recognition)
- Applying sliding-window detection for image preprocessing
- Improving the speed of object detection by replacing existing models
- Detecting text on diagrams and associating it with objects
- Finding lines on the image and developing a graph-based solution to
build paths from node to node
- Automating the training process via AzureML