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Sai Kiran Srivatsav Gollapalli

Data Scientist

Fraunhofer IIS

Nuremberg, Germany

1 profile visitGerman Participant

Data Scientist at Fraunhofer IIS, leveraging AI & ML for sustainability. Passionate about geospatial AI, resource efficiency & energy-aware computing

My organisation

Fraunhofer IIS

Fraunhofer IIS

R&D Institutions

Nuremberg, Germany

In the research focus "Data-Centered Space and Risk Research", we use AI-supported methods based on geo- and remote sensing data as well as text and sensor analyses to increase civil security, promote resilient supply chains and enable more economical and sustainable site decisions. Our experts combine economic framework data with their comprehensive understanding of the market and industry, with new methods for AI-supported image evaluation and methods of empirical social research. In this way, complex economic relationships can be comprehensively analyzed and spatially located from a new perspective. For more transparency and security in decision-making.
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About me

I am a Data Scientist at Fraunhofer RSA, specializing in Geo AI, Machine Learning, and High-Performance Computing. My academic journey began with a Bachelor’s in Mechanical Engineering (2018), followed by an MSc in RTL from TUM Asia (2019). During my time in Germany, I worked with Fraunhofer SCS as an intern (2021), later taking on a Graduate HiWi role (2022 Q1) and completing my Master’s thesis under Dr. Roland Fischer (2021 Q3).

I have industry experience as a Data Scientist at Planco Consulting GmbH (2022 Q3) before transitioning to Fraunhofer RSA (2023 Q4). My research contributions include filing a patent and co-authoring two papers in applied AI and geospatial analytics. My work focuses on leveraging AI for large-scale data-driven solutions, with a keen interest in Change Detection and sustainable computing.

I am passionate about collaborative research and innovation, seeking opportunities to bridge AI with sustainability-driven applications.

Skills

  • MachineLearning
  • GeoAI
  • Earth observation
  • Climate Change
  • Resillience
  • Geodata

Interests

  • Resilient Buildings
  • sustainability