Adriana is a Quantitative Analyst and is part of the team responsible for building out the suite of analytics and tools unique to RSK.

She specializes in developing machine learning and models to predict rent and house price appreciation. The team she is part of is responsible for data collection, feature engineering and creating dynamic geographic visualizations to inform strategic investment decisions.

Adriana is working on her Master’s degree in Financial Mathematics from the University of Chicago and has a Bachelor’s degree in Aerospace Engineering from the Polytechnic University of Catalonia. Combined with her coding expertise, she excels in data-driven projects from rental features that provide the highest economic value to identifying high potential real estate submarkets.