Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published:
Details: Spoke about the DMN architecture and its uses in general tasks in Natural Language Processing like Question Answering, Novelty Detection.
Published:
Date: 30th September 2019, 11th March 2020, 27th May 2020
Details: Part of DSC and NJACK Clubs -
Published:
Details: Two-day workshop powered by Google AI.
* Introduced students of IIT-Patna to the basics of Machine Learning and Neural Networks.
* Initiated brainstorming activities through discussion of real-world applications of ML.
Link
Published:
Succeeding in Building and Pursuing a Career in Startups
Date: 14th March, 2021
Speaker: Ms. Nistha Tripathi, CEO Scholar Strategy and author of bestselling entrepreneurial book “No Shortcuts”
Details: Expert Talk Series, E-Summit-2021, IIT-P
Talk on drawing inspirations from successful startups and developing an entrepreneurial mindset.
Published:
Competitive Machine Learning Session
Details: Taught students about the general pipeline of approaching and solving a typical ML problem taken from Kaggle. Introduced students to various libraries like Numpy, Pandas and Matplotlib.
Link
Co-Speakers: Akshat Porwal, Aditya Samantaroy, Gul Jain
Published:
Research Session: Introduction to Deep Learning
Details: Introduced the concept of neurons, neural layers, and collectively the working on neural networks. Introduced concepts of gradient descent and backpropogation. Demonstrated working of simple neural networks.
Link
Co-Speakers: Akshat Porwal, Sushant Sinha
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.