Abhishek Kathuria is a computer science graduate with a Bachelor of Technology from Bharati Vidyapeeth's College of Engineering in New Delhi, India. He has work experience as a summer research intern at IIT Kharagpur where he built deep learning models using Keras and PyTorch. His skills include Python, C++, SQL, TensorFlow, PyTorch and Scikit-learn. He has published research papers and a book chapter on topics related to machine learning and data science. Abhishek has certifications in data science, image recognition and self-driving cars. He has also held leadership roles in extracurricular activities focused on computer programming education and child protection.

1. Abhishek Kathuria Email : abhishekkathuria40@gmail.com
LinkedIn: abhishek924 Mobile : +91-9654396840
Github: abhishek-924
Education
Bharati Vidyapeeth’s Collegeof Engineering New Delhi, India
• Bachelor of Technology in Computer Science; CGPA: 8.07 2016 –2020
ST. Thomas’ School New Delhi, India
• CBSE Board (XII); Percentage: 93 % 2015-2016
ST. Thomas’ School New Delhi, India
• CBSE Board (X);CGPA: 10.0 2013-2014
Experience
Indian Institute of Technology, Kharagpur West Bengal, India
• Summer Reseach Intern June 2019 - Present
◦ Worked on the project titled “Capsule Networks for Answering User Queries from Product Specifications” under the
guidance of Dr. Pawan Goyal, Assistant Professor , Department of Computer Science .
◦ Built deep learning classification models using capsnet and xlnet by using Keras and Pytorch framework.
Bharti Infratel Ltd Gurugram, India
• IT Intern May 2018 – July2018
◦ Worked on Integrated Power Management System using MS Excel and python.
AllinCall Mumbai, India
• Freelance content writer December 2018 – Present
◦ Wrote numerous articles and case studies on machine learning and artificial intelligence.
Skills
• Languages: Python (proficient), C++, SQL, HTML, CSS
• Tools and Frameworks: PyTorch, Keras, Tensorflow Scikit-learn,OpenCV, Google Colab
Projects
• Capsule Networks for Answering User Queries from Product Specifications: Research based project aimed at developing
benchmark algorithm for automated question answering using product specifications. Used Keras and Pytorch to implement the model.
• Capsule Transformer Network for Social Sentiment Analysis: Objective is to classify the questions on the community question
answering platforms as ‘sincere’ or ‘insincere’. Used PyTorch to implement classification model.
• Cohesion Analysis: Performance of Email Clustering: Applied clustering techniques such as kmeans and hierarchical
clustering on Enron Email dataset.
• Image Search Engine: Created end to end Image Search Engine using Tensorflow, Flask, HTML, CSS, Javascript.
• Object Detection: Worked on Object Detection using Single Shot Multibox Detector.
Research
• Book chapter on Fuzzy MCDM: Application in Disease risk and prediction, which is accepted in Apple Academic press research notes
on Optimisation and Decision-Making Theories.
• Research paper on Capsule Transformer Network for Social Sentiment Analysis.
• Research paper on Cohesion Analysis: Improvising Performance of Email Clustering, which is accepted in Recent Patents of
Computer Science journal.
Professional Development
• Coursera certification in Data Science Specialization authorized by University of Michigan.
• Udemy certification in Image Recognition using Neural Networks.
• Udemy certification in Self Driving Car Course - Applied Deep Learning.
• Coding Blocks certification in Algorithms and Data Structures using C++.
Extracurricular
• Treasurer of ACM-BVP: Managed all the financial records for ACM student chapter
• President of ACM-Parivartan: Organised Hour of Code event to teach students of class 5 and 6, the basics of computer programming.
• Machine learning content writer at Data Driven Investor.
• Current team member of Research and Development department at Amoli Trust for Child Sexual Abuse issue.
• NSS core team member.