Noam Shahar
About Noam Shahar
Noam Shahar serves as the Vice President of Data Operations at CompStak, where he has worked since 2015. He has a background in real estate finance and data science, with previous roles at CompStak and Hudson Valley Property Group.
Current Role at CompStak
Noam Shahar serves as the Vice President of Data Operations at CompStak, a position he has held since 2015. In this role, he is responsible for the efficient and speedy processing of CompStak’s crowdsourced data. He has played a key role in integrating data, technology, and commercial real estate within the organization. His work focuses on enhancing data operations to improve overall efficiency and effectiveness.
Previous Experience in Data Operations
Prior to his current role, Noam Shahar worked at CompStak in various capacities. He started as an Analyst from 2012 to 2013, where he contributed to data analysis efforts. He then advanced to the position of Research Director from 2013 to 2015, overseeing research initiatives. Before joining CompStak, he worked as an Origination Associate at Hudson Valley Property Group for three months in 2012, and as an Acquisitions Intern at Signature Community Investment Group for two months.
Education and Expertise
Noam Shahar has a solid educational background in real estate finance and technology. He earned a Master of Science in Real Estate Finance and Investment from New York University, completing his studies from 2010 to 2012. He also studied Electrical and Computer Engineering Technology at the New York Institute of Technology, obtaining a Bachelor of Technology from 2004 to 2007. Additionally, he pursued Data Science at General Assembly from 2015 to 2016.
Contributions to Data Processing Software
At CompStak, Noam Shahar has led the development of a suite of data processing software that utilizes machine learning algorithms. This initiative reflects his commitment to advancing data operations and enhancing the capabilities of CompStak's data management systems. His work in this area has contributed to the overall effectiveness of data integration within the commercial real estate sector.