Cityinfo Services Pvt. Ltd.
Manish Sahu is a seasoned professional in transaction advisory with extensive experience spanning over a decade. Currently serving as Senior Manager - Transaction Advisory at Cityinfo Services Pvt. Ltd. since September 2018, Manish has previously held positions including Assistant Manager - Transaction Advisory at RealPro Advisors Pvt Ltd from July 2013 to April 2014, and Asst. Manager - Transaction Advisory at BNP Paribas Real Estate from June 2010 to July 2013. Earlier in the career, Manish worked as Senior Executive - Corporate Leasing at RRPL from January 2008 to June 2010, focusing on business development. Manish's educational background includes studies at Motivational Pathway from 2006 to 2008.
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Cityinfo Services Pvt. Ltd.
An Indian company – with a strong network of offices across the nation and a highly experienced team which has intuitive knowledge of local practices and landscapes: this is what makes us different… Cityinfo is a real estate services and solutions corporation which combines its in-depth knowledge of Indian markets & real estate nuances with intrinsic understanding of global real estate best practice to offer a high value solution for real estate transactions. In a constantly changing industry within an emerging economy, acquiring robust information and insights, and making relevant predictions and accurate real estate decisions are not easy tasks. This is precisely the reason why a range of corporations – domestic and international – trust us to help identify opportunities and execute outcomes. We are committed to acting as a true partner in your growth – understanding your business drivers in detail to structure real estate strategy and providing insights on the intricacies of transactional details to ensure relevant solutions. With close to three decades of presence across all major Indian locations, our solutions are driven by the local market data and trends that our teams are constantly in touch with; and we offer the advantage of reach across micro-markets to maximize value.