Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Olga Ermolin

Olga Ermolin
Senior Business Intelligence Engineer, MLS Listings

Website

Olga Ermolin is a senior business intelligence engineer at MLS Listings, where she is responsible for standardizing the schema of the company’s real estate database across multiple real estate hosting companies as well as maintaining day-to-day data integrity and scalability. She is designing and developing various Business Intelligence tools that enable clients to visualize and analyze real estate trends and performances. scalability. She created the company’s BI product that enables clients to visualize and analyze real estate trends and performance.

Sessions

16:35–17:15 Wednesday, 23 May 2018
Using Siamese CNNs for removing duplicate entries from real estate listing databases
Big data and data science in the cloud, Data science and machine learning
 Location: Capital Suite 13 Level: Intermediate
Secondary topics:  Data Integration and Data Pipelines sessions, Media, Advertising, Entertainment
Sergey Ermolin (Intel), Olga Ermolin (MLS Listings)
Average rating: ****.
(4.00, 1 rating)
Aggregation of geospecific real estate databases results in duplicate entries for properties located near geographical boundaries. Sergey Ermolin and Olga Ermolin detail an approach for identifying duplicate entries via the analysis of images that accompany real estate listings that leverages a transfer learning Siamese architecture based on VGG-16 CNN topology. Read more.