Lead and manage the Code 619 Science Data Systems, comprising MODIS Adaptive Processing System (MODAPS), NRT LANCE and VIIRS NASA LandSIPS.Lead Science SME within the production facility.Chief POC for all matters related to data production, availability, and quality.

Lead and coordinate all activities of the Land Data Operational Product Evaluation (LDOPE) group, which is part of the NASA Land SIPS and MODIS processing system (MODAPS). Oversee all data production issues and work closely with the data production team, science team, and various other stakeholders to ensure a smooth workflow and satisfaction of all data quality standards.

Develop and validate multiple land science products, derived from NASA EOS and JPSS series of satellite missions like MODIS, Suomi NPP etc. Work closely with different science teams and institutions to develop land algorithms, QA/QC data products, perform systematic data validation and analysis and inter-sensor comparison. Research interests include leveraging satellite data to study the impact of climate change on land and atmospheric processes and their mutual feedback. Role of human impact in driving these land atmospheric feedback mechanisms and its steady evolution over the years.

Member of the Terrestrial Information Systems Lab., in GSFC, as part of MODIS LDOPE/NPP LPEATE. Responsible for development of land algorithms for development of scientific datasets from L1B - L3/L4 for all land related parameters and covering the entire globe, derived from MODIS Terra/Aqua and NPP VIIRS. Responsible for validation of land products. Research focus includes the study of land surface processes and their interaction, leveraging satellite data.

Plays a leading role in developing workflow and algorithms for providing commodity intelligence to hedge fund managers, traders and global food companies for major commodity crops like corn, soybean, wheat, cane, canola etc across diverse regions of the globe in USA, Canada, Russia, India, South America and China using geospatial technology.

Lead and manage diverse services/consulting projects involving the use of geospatial technology for better strategic and supply chain analysis. This involved spatial mapping of land-cover, hbu potential, natural hazards, and environmental and atmospheric parameters across diverse geographic scales using a plethora of sensors operating in visible to microwave ranges. Also involved large-scale land due-diligence studies for different timber merchants and paper companies.

Designed and executed a number of critical and pioneering research studies aimed at better understanding different aspects of the biosphere, hydrosphere and atmosphere with their respective interactions over inter- annual to decadal time scales. Specifically: • Performed extensive research focusing on possible feedback of land cover and soil moisture on the hydrological cycle and monsoon rainfall over South East Asia. This research combined observational data analysis with comprehensive land surface modeling in an effort to understand the scale of coupling and underlying physics. A part of this research was carried out in NASA Goddard (GSFC).Investigated the inter-annual variability of vegetation and aerosol radiative forcing over Indian sub-continent.Investigated the variability of monsoon rainfall over South Asia and decreasing influence of ENSO vis-à-vis monsoon rainfall.

Hydrological Sciences Branch, NASA GSFC, Greenbelt, MD, USAPerform land surface modeling to understand the interaction between land-cover and atmosphere. The research was aimed at better predicting the changes in hydrological cycle and monsoonal precipitation because of changes in Land Surface.

Involved in extensive research of climate parameters and their variability over the Indian sub-continent, specifically snow-cover, tropospheric ozone and aerosol. The possible teleconnection pattern of pacific disturbance over Indian sub-continent was thoroughly explored with the aid of datasets from SSM/I, TOMS, GOME etc.

Responsible for development of a complete Hydrological Information System (HIS) for Ground Water Board of the Government of India. The back-end RDBMS used for the project was ORACLE 8.0 and Spatialware. C++, MapInfo 5.5., Visual Basic 5.0 and Map Basic 5.5 were used to develop the forms for HIS user interface extensibility and Crystal Report for generating MIS reports from Hydrology Database. Vertical Mapper 2.1.1 was used for spatial analysis. Certain Statistical Parameters were calculated through a seamless integration of SPSS with MapInfo 5.5. The development platform was Windows -NT 4.0 Workstation and Server.