- Enabling the data team and the whole org to grow faster

The research explores rhythm as a new methodology for policymaking, which aims to enhance the sharing of culture for social resilience in neighborhoods. With residents, civil servants and creative industries participating, physical and data rhythms are analyzed and designed in Amsterdam Zuidoost. The research group aims to work with several data sources and analytical methods, and to make bridges with ethnographic research techniques, in order to better recognize, represent and approach the multiple layered experiences in cities. The consortium engages the University of Amsterdam, Delft University of Technology, Amsterdam Zuidoost City Borough (Stadsdeel Zuidoost), and Amsterdam Statistics Bureau (OIS). The international data partner is Habidatum. A special online platform supports the research.I participate in the research as a data science lead from Habidatum, bringing in the expertise of data analysis, methodology development and visualization of various urban big data sets.

Contributing to an article on the topic of Data modernization for volume IV and "Fair data use" for the upcoming volume of the journal.

• Creation of data-driven products for Commercial Real Estate, Urban Planning, and Location Intelligence• Leading the development of the Inclusive Growth Score for Mastercard• Data orchestration: full ETL driving our maps and APIs with 10s of TBs of data on GCP, Dagster and dbt• Development of methodology for using Big Data for CPI calculations, a project, funded by World Bank Group• Design and Implementation of Data Management Products• Leading the Data Team: Data Scientists, Data Analysts and a Data Engineer • Managing the launch of technical projects with data partners• Teaching classes, workshops, and lectures at various universities (HSE, MSU, MIT, MArchI, etc.)

Served as a member of the jury for the UN Big Data Hackathon held in Yogyakarta, Indonesia, and virtually. Repeatley invited for 2023 Datathon jury and mentorship.The hackathon aimed to develop ideas and solutions to help achieve Sustainable DevelopmentGoals and resolve Global challenges. Participants are Big Data experts in government agenciessuch as national statistical offices and other data practitioners.

Developed a tool that predicts the probability of survival of a small business at neighborhood scale.• Transforming academic paper to an interactive tool, available for a wide audience • Exploring new ways to utilise existing data • Produced a master thesis, that introduces a methodology and algorithms for functions colocations in the city

Study of the behaviour of Foursquare users visiting sport gyms and parks in Moscow.• Developed a framework for Foursquare data collection and processing• Created a unique dataset of health/fitness related activity in Moscow• Built a visualization of gathered data and inferred activity patterns

Explored ultrasound Scans Mosaicing techniques at Victor Lempitsky's lab in collaboration project with Brian Anthony's lab at MIT, for prosthetic limbs sockets production, using ultrasound as a scanning technique.

• Developed the MVP and attracted the core team of developers• Designed and implemented multiple iterations of data flow in collaboration with backend team• Led the iOS team in development of international version launch in Fall 2014

Explored the role of dopamine reward error in synaptic plasticity in multiple stimuli model with SQL and Pyton.