Anna Lvova
Manager at Knight Frank MENA
Dubai, Dubai, United Arab Emirates
Summary
🤩
Rockstar🎓
Top SchoolAnna Lvova is a spatial analytics leader and Python developer with eight years of international experience across MENA, the UK, and Russia, currently driving insights as a Senior Analyst in Dubai. She combines a strong academic foundation in Smart Cities and Urban Analytics from UCL with hands-on roles from Yandex data teams to senior data science at PerigonAI, translating complex urban and real estate problems into actionable models. Her technical work includes backend contributions to the popular open-source Airbyte project, where she improved Stripe connector data extraction—demonstrating practical experience in ETL and API integration. Anna has co-founded a social initiative and reviewed data analytics coursework, reflecting a blend of entrepreneurship, teaching, and community impact. Comfortable at the intersection of geospatial analysis, research and product-facing analytics, she excels at turning messy location data into business-ready intelligence for property and urban planning stakeholders.
8 years of coding experience
5 years of employment as a software developer
Hybrid Urbanism, Hybrid Urbanism at Strelka Institute for Media, Architecture and DesignЖурналистика, Журналистика at Московский Государственный Университет им. М.В. Ломоносова (МГУ)University College London
Russian, English, french (intermediate), spanish (beginner)
Github Skills (8)
etl10
api10
stripe10
apidoc10
data-integration10
java9
python9
javas9
Programming languages (2)
Github contributions (5)
airbytehq/airbyte
Jul 2021 - Jul 2022
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Role in this project:
Backend Developer
Backend DeveloperContributions:104 reviews, 33 commits, 56 PRs in 1 year
Contributions summary:Anna contributed to the Stripe source connector, focusing on fixing the subscriptions stream to return all subscription types. They modified the `source.py` and `setup.py` files within the `source-stripe` connector, indicating involvement in data extraction and integration logic for the Stripe API. The changes involved code modifications related to subscriptions, suggesting a focus on backend development and API interaction.
aiai-agentdatabasedatabaseselt
annalvova05/hillel_lesson7
Apr 2021 - Apr 2021
Contributions:4 pushes, 1 branch in 1 day
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