OKUANT
Michal Kinel is an experienced data scientist currently employed at OKUANT since April 2018, specializing in real estate data analysis from both micro and macro perspectives while also preparing internal reports for the Data Science Department. Previously, Michal held quality control roles at Barfoots of Botley Ltd, ensuring product standards and collaborating with production leaders. Additional experience includes administrative responsibilities at Grúas Bermejo, warehouse operations at Gebotex B.V., and economic management at mora efron- joyas con encanto, where accounting systems were implemented. Academic qualifications include a Master in Economics from Universidad Complutense de Madrid and a Degree in Economics from Universidad de Valladolid.
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OKUANT
Company specialized in real estate investments for funds and other institutions. We have an experienced team having managed-valued more than 4.000 million euros on Real Estate portfolios.We cover all management phases from start to finish, offering a customized solution due to our team of Portfolio Managers, negotiators and salesrepresentatives.We have our own technology, which analyzes the market evolution in real time, being able to make 50.000 daily automated valuations with minimum deviations with the final price.Big Data platform with more than 26 million Spanish Real Estate market references of the last 5 years, including prices per m², geolocation, cadastral reference, house´s floors, photos and features (elevator, garage ...) and time in the market. Studying the socioeconomic variables of the different areas to determine demand and target prices.AI algorithms have been implemented in the decision-making process. Our experienced Data Science team, develops different algorithms to increase operational efficiency in asset valuation and market expectations.