Pankhuri J.

Pankhuri J. has a diverse work experience beginning in 2018 as a Research Scholar at the Indian Institute of Technology (Banaras Hindu University) in Varanasi, where they improved the performance of credit card fraud detection and bankruptcy prediction. In 2020, they became a Machine Learning Intern at Heuro, where they detected emotions from face using deep learning models and extracted information from textual description to create images using House GAN model. In 2021, they were a Data Specialist and Software Engineer at Exalens, where they improved the precision of detecting malicious domains to 96% and detected arp spoofing from real time network data. Additionally, they were a Microsoft AI for Earth Grantee at Microsoft, where they received a grant to advance research in "Real time object detection from satellite imagery to monitor crop health." Finally, in 2022, they became a Thesis Supervisor at upGrad.

Pankhuri J. has a comprehensive education history. Pankhuri obtained their Bachelor of Science (B.Sc.) in Mathematics from Banaras Hindu University in 2015. Pankhuri also received gold medals in Mathematics and Master of Computer Applications (M.C.A.) from the same university. In 2018, they earned their Doctor of Philosophy (Ph.D.) in Machine Learning, Deep Learning, and Artificial Intelligence from the Indian Institute of Technology (Banaras Hindu University), Varanasi. Prior to this, Pankhuri J. attended Central Hindu Girls School and St. Mary's Convent School. Additionally, they have obtained multiple certifications from GUVI Geek Networks, IITM Research Park in the fields of Deep Learning, Encoder Decoder Models, Introduction to Object Detection, Sequence Models, Convolutional Neural Networks, Deep Convolutional Neural Networks, Introduction to Pytorch, Optimization Algorithms, Primitive Neurons, Sigmoid Neuron, and Training Feedforward Neural Networks.