Peesapati RADHA MANASA - Senior Research Fellow - National Remote Sensing Center, ISRO | Himalayas
Peesapati RADHA MANASAPM
Open to opportunities

Peesapati RADHA MANASA

@peesapatiradhamanasa

Dynamic GIS expert with 4 years of geospatial data analysis experience.

India

What I'm looking for

I seek a role that fosters innovation in geospatial analysis and offers opportunities for professional growth.

I am a dynamic GIS expert with four years of experience specializing in geospatial data analysis, automation, and tool development. My proficiency in Python and various GIS frameworks has enabled me to build scalable geospatial solutions that enhance decision-making and streamline workflows. I have a strong background in integrating GIS data with APIs, databases, and cloud platforms, which has significantly improved spatial analysis capabilities.

Currently, as a Senior Research Fellow at the National Remote Sensing Center, ISRO, I spearhead the development of automated geospatial workflows, achieving a 40% reduction in manual intervention. My work includes designing a Python-based runoff prediction tool for PAN India and the QUAD project, which allows for real-time visualization of runoff forecasts. I have also conducted comprehensive evaluations of rainfall datasets, improving the reliability of flood forecasting models through collaboration with cross-functional teams.

Previously, as a Junior Research Fellow, I automated spatial data processing workflows for flood forecasting, cutting processing times by 50%. My experience as a Geomatics Technician further solidified my skills in optimizing geospatial workflows and ensuring data reliability. I am actively exploring advanced AI techniques to tackle complex geospatial problems, aiming to contribute to innovative solutions in the field.

Experience

Work history, roles, and key accomplishments

NI
Current

Senior Research Fellow

National Remote Sensing Center, ISRO

Oct 2023 - Present (1 year 8 months)

Spearheaded the development of automated geospatial workflows using Python and ArcGIS, significantly reducing manual intervention. Designed a runoff prediction tool for PAN India and the QUAD project, enhancing flood forecasting reliability through comprehensive rainfall dataset evaluations.

Education

Degrees, certifications, and relevant coursework

SRKR Engineering College logoSC

SRKR Engineering College

Bachelor of Engineering, Civil Engineering

Grade: First Class with Distinction

Qualified with First Class and Distinction in Bachelors in Civil Engineering.

Jawaharlal Nehru Technological University logoJU

Jawaharlal Nehru Technological University

Master of Technology, Remote Sensing

Grade: First Class with Distinction

Qualified with First Class and Distinction in Masters in Remote Sensing.

Tech stack

Software and tools used professionally

Availability

Open to opportunities

Location

India

Authorized to work in

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