She has a strong expertise in data management, remote sensing, and sustainable energy systems. She leads the development of EXSAT, SRK Exploration’s in-house geospatial web platformthat provides consultants with licensed access to spectral remote sensing and earth observation datasets, alongside tools for advanced workflow development.
Nadini has created SCAR-UNET, a convolutional neural network designed to map mine workings in remote regions; delivered proof-of-concept analyses to identify lithium pegmatite occurrences using multispectral imagery and advanced machine learning; and contributed to modeling ESG factors to support responsible mineral targeting.
Nandini is proficient in Python, JavaScript, and R, and works extensively with technical Python libraries such as NumPy, (Geo)Pandas, Scikit-learn, PyTorch, and TensorFlow.
