Pranshu Malviya
MS Student at IIT Madras
Recent
Will work as TA in the Jan 2021 offering of the NPTEL course “Reinforcement Learning” taught by Prof. Balaraman Ravindran....
Will work as TA in the Fall 2020 offering of the NPTEL course “Practical Machine Learning with Tensorflow” taught by...
Our paper “A Causal Linear Model to Quantify Edge and Cumulative Unfairness for Unfair Edge Prioritization and Discrimination Removal” was...
Started a remote internship at Chandar Research Lab (MILA) under the supervision of Prof. Sarath Chandar and Prof. Balaraman Ravindran....
Will work as TA in the Spring 2020 offering of the NPTEL course “Practical Machine Learning with Tensorflow” taught by...
Had a great time in attending talks and tutorials CoDS-COMAD 2020 in Hyderabad. Got the opportunity to meet some amazing...
Joined as an MS student in the Dept. of CSE at IIT Madras, under the guidance of Prof. Balaraman Ravindran....
Gave a talk on ‘Recent Advances in ML/AI Research’ in Applied Materials Inc., Bangalore.
Will work as TA in an NPTEL course “Practical Machine Learning with Tensorflow” for next 3 months. Looking forward to...
Started working as a Project Associate at Robert Bosch Center for Data Science in IIT Madras.
Minerva and I presented our paper “Contextual Care Protocol using Neural Networks and Decision Trees” in Second International Conference on...
Started working as a research intern in RISE-lab at IIT Madras from January 2018 to April 2018.
Paper on “Building AI for minesweeper as CSP and MDP” submitted for review. It was a mini-project that I an...
Check blog on graphical interpretation with ArangoDB and performance testing.
Finalist as a team of 6 members in Smart India Hackathon 2017 organized by Government of India under the Ministry...
Selected among top 10 finalists in the 24hr Hackathon for building a Contextual Care Protocol using weighted decision trees and...
Organized a three day workshop for more than 150 students in order to promote data science and help them get...
Tried out some famous machine learning algorithms in python using scikit-learn (here) after understanding from lectures on Introduction to Machine...