Using Python & Neo4j to Explore Business Connections
See how Python and Neo4j bring your data to life. We uncover hidden patterns and real connections that empower smarter business moves. My talk is easy to follow and hands-on, with a real ClearPic.ai demo. Let’s see data in a whole new way!
- Timeslot: Sunday 6th april 2025, 9:00-10:00, Room C
- Tag: other
Data is more than rows and columns—it shows connections that matter. In this talk, I show how graph databases like Neo4j help find important relationships in business data. With Python and the Py2neo library, we will explore how to connect normal data analysis with network structures. You will see how to find patterns that show fraud risks or business networks, giving new ways to solve hard problems. I will demonstrate with ClearPic.ai how these methods change complicated data into useful information you can act on. This talk is for people who know Python and want to learn about data—you don’t need to know graph databases before. Join me to see data differently and learn practical ways to make better business choices.
Tech leader with 8+ years experience applying graph databases to solve complex business challenges. As Co-Founder and CTO of ClearPic.ai, I develop tools that map business relationships in Central Asia and the Caspian region, helping clients uncover hidden connections and compliance risks. My background combines data science with practical financial intelligence - from Deloitte and PwC to leading R&D at Urus Advisory where I specialized in high-risk market analysis.
My passion is making complex data speak through network visualization. Whether tracking suspicious transaction patterns or mapping corporate ownership structures, I believe graph technology offers perspectives traditional SQL can’t match. When not coding in Python, I like to try different Chinese teas and listen to jazz records - helps me think better when solving hard problems.
