Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 5

Analytical instruments and research in urban mobility data, in particular: 
- Analysis of data on public transport and traffic in Kyiv, especially analysis of GPS traces of public transport.
- Collection and analysis data about Ukrainian Railways, in particular, about passenger transportation, for the National transport model of Ukraine and masterplan.
- Сonducted research on applications of optimization algorithms for improving the public transportation network in Kyiv.
The biggest part of my career has been dedicated to urban transportation and mobility data analysis, with applications of Machine Learning. My main stack of technologies includes Python, PostgreSQL, QGIS.  
As a developer and data scientist in the transport consulting teams, I worked on development of intelligent transport systems for Kyiv and Ukraine. For this, I performed analysis of transportation data and various additional sources (e.g., cell data). 
Later, I continued to work on mobility and transportation data (e.g., municipal transport GPS traces, data from Uber) for researching traffic safety in Kyiv. The results were put into policy options for city planning and transport system management in Kyiv and presented to policy-makers. Also, I have conducted research based on various data about the city to define and highlight different problems, such as air quality, inclusivity, vegetation and temperature.
In my current role, as a data scientist, I am using analysis of the mobility and transportation data to develop proposals for reorganizing traffic in Kyiv.
All of the above listed experiences have included both team and individual work. I have worked in different teams, such as startups, product IT companies, international projects, and the municipal sector.
I see myself as a lead data scientist working on complex problems using urban data, in particular, mobility and transportation data. I am especially interested in optimization problems.
I would appreciate flexible working hours.