Arun Pandiyan

Prediction of future yield requirement of tree species to standardize supply chain of wood procurement for ITC paper business using deep learning models.
Developed web app for real time prediction of best farm practice for a given GPS coordinates to improve wood yield using deep learning model.
Developed object detection model for realtime product recognition in market shelf.
Exploration on taste prediction of food ingredient using structural aspect of molecules.

Mapped phenotypic characteristics, disease progression of tree species and identification of biomarkers from genotypes.
Identified crucial biomarkers for Sharbati quality of wheat and low glycemic index of rice using custom annotation pipeline and GWAS study.
Successful development of MEAN stack web application to streamline maintenance of company's intellectual property and mapping its competitive landscape using NLP model.
Developed various prediction models and visualization dashboards for custom scientific problems and deployed as web tools and stand-alone tools.
Performed Human Microbiome analytics for personal care product formulations for Indian population.
Development of custom pipelines for genome, transcriptome, proteome and metabolome analytics of various tree and crop species.
Performed sentimental analytics on customer's feedback to suggest business to improvise ITC product.