Theodoros Makridakis

Data Scientist @ ReDataset

Theodoros Makridakis works as a Data Scientist at ReDataset of the Resolute Cepal Greece group, with expertise in real estate analytics, spatial econometrics, and predictive modeling. He designs and delivers end-to-end data solutions for real estate, from data collection and enrichment to creating algorithms and deploying models into production tools. His work focuses on analysing property values, yields, and market indices, helping investment and asset management teams make data-driven decisions on pricing, risk, and portfolio strategy. He holds a PhD in Spatial Applied Econometrics from the University of Piraeus, where he worked on spatial data, regional dynamics, and applied quantitative methods. Before joining ReDataset, he worked as a Data Scientist in the health-tech sector and as an Economic Research Analyst in the public sector, gaining experience in applied econometrics, quantitative analysis, and policy-relevant research.

Bio

Everyone talks about "applied AI", but most industries still struggle with the basics: fragmented, inconsistent and untransparent data. In this session, based on real estate use cases, we cut through the hype, explore why AI delivers limited value when the underlying data is weak and discuss fixes.

AI & Real Estate: Stop Hyping AI; Fix Your Data

Presentation at GenAI Summit 4: