Suraj Harshan
About Suraj Harshan
Suraj Harshan is an Assistant Vice President currently working at HSBC and a Senior Analyst at Swiss Re in Bangalore, India. He has extensive experience in urban climate modeling and data analysis, with a strong academic background in meteorology and atmospheric science.
Current Position at HSBC
Suraj Harshan serves as an Assistant Vice President at HSBC, a position he has held since 2022. He is based in Bangalore Urban, Karnataka, India. In this role, he applies his extensive knowledge in climate modeling and data analysis to support the bank's initiatives in climate risk assessment.
Experience at Swiss Re
Suraj Harshan has been working as a Senior Analyst at Swiss Re since 2018. His responsibilities include advanced climate risk analysis, where he utilizes his expertise in urban climate modeling. He is based in Bangalore Urban, Karnataka, India, and has accumulated six years of experience in this position.
Previous Roles and Research Experience
Before his current roles, Suraj held various positions in research and modeling. He worked as a Modeler at RMS from 2016 to 2018 in Noida Area, India. He also served as a Research Fellow at the Indian Institute of Science for ten months in 2010 and as a Research Assistant at Texas Tech University from 2006 to 2009. Additionally, he was a Research Assistant at the National University of Singapore from 2011 to 2015.
Educational Background and Qualifications
Suraj Harshan holds a Doctor of Philosophy (Ph.D.) in Geography from the National University of Singapore, completed between 2011 and 2016. He also earned a Master of Science (M.S.) in Atmospheric Science from Texas Tech University in 2009 and a Master of Science (M.Sc.) in Meteorology from Cochin University of Science and Technology in 2004.
Technical Skills and Expertise
Suraj possesses expertise in urban climate modeling, focusing on model validation and sensitivity analysis. He is proficient in meteorological instrumentation and data acquisition. His technical skills include working knowledge of Python and SQL, as well as a strong command of Matlab, R, and FORTRAN. He employs machine learning techniques for data imputation in climate modeling projects.