Rishabh Gupta

About Me

Born in Kanpur, Uttar Pradesh, I completed my schooling there. I have completed my under-graduation from IIT Kharagpur and I am now an incoming Analyst at Goldman Sachs.

Apart from academics, my interests lie in drama, both- stage & street, video editing, and comedy. Not long ago, I tested my skills at video editing, where I compiled & edited shots from Sydney into an encouraging & informative video for my YouTube viewers. I believe one should equally balance academics & extra curiculars for personality development.

I never liked sitting idle, I like to keep myself busy and constantly work towards my goals.

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Experience

Amazon Development Centre Banglore, India, 2020

Registration & Core Services

Design of an Automated pipeline for the migration of configuration files from buyer service(.config) to seller based service(.json)

The University of New South Wales, Australia, 2020

School of Mathematics and Statistics

Long-term multi-step comparison between shallow and deep neural networks for Time-Series analysis

The University Of Sydney, Australia, 2019

Centre for Translational Data Science

Reinforcement Learning (RL) via Parallel Neuroevolution Algorithms for Automatic Stock Trading.

IIT Kanpur, India, 2018

Smart Materials, Structures & Systems Laboratory

Design and Development of a Pipe-line Health Monitoring Robot based on Smart Sensor Embedded Rotating Probes.

Kent State University, USA, 2018

Remote Project

Examining the Passive and Active Digital Learning Activities of mind using EEG (Electroencephalography) waves.

IIT Kharagpur, India, 2017

mBreath Technologies Private Limited | Machine Learning Division

Development of a deep learning model for intelligent activity classification and sleep detection

Education

2016 - 2021

IIT Kharagpur

APPLIED GEOLOGY
(Integrated M.Sc. 5Y)
MINOR in COMPUTER SCIENCE & ENGG. (B.Tech 4Y)
CGPA: 8.06/10.00

2015

Indian School Certificate Examinations

Dr Brij Kishori Dubey Memorial School, Kanpur
Percentage: 94.2%

2013

Indian Certificate of Secondary Education

Mercy Memorial School, Kanpur
Percentage: 93.5%

My Publications

2021

Delhi Air Quality Prediction Using LSTM Deep Learning Models with a Focus on COVID-19 lockdown

2021

Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction

2020

A Proposal of FPGA-based Low Cost and Power Efficient Autonomous Fruit Harvester

The 6th International Conference on Control, Automation and Robotics (ICCAR 2020), Singapore

2020

Deep Reinforcement Learning for Variability Prediction in Latent Heat Flux from Low-Cost Meteorological Parameters

The 16th SPIE Photonics Europe 2020 which was held in Strasbourgh, France

Conferences

The 6th International Conference on Control, Automation and Robotics (ICCAR 2020)

Singapore

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The 16th SPIE Photonics Europe 2020

Strasbourgh, France

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Projects

Amazon Development Centre Banglore, India, 2020

Registration & Core Services

Design of an Automated pipeline for the migration of configuration files from buyer service(.config) to seller based service(.json)
The University of New South Wales, Australia, 2020

School of Mathematics and Statistics

Long-term multi-step comparison between shallow and deep neural networks for Time-Series analysis
The University Of Sydney, Australia, 2019

Centre for Translational Data Science

Reinforcement Learning (RL) via Parallel Neuroevolution Algorithms for Automatic Stock Trading.
IIT Kanpur, India, 2018

Smart Materials, Structures & Systems Laboratory

Design and Development of a Pipe-line Health Monitoring Robot based on Smart Sensor Embedded Rotating Probes.
Kent State University, USA, 2018

Remote Project

Examining the Passive and Active Digital Learning Activities of mind using EEG (Electroencephalography) waves.
IIT Kharagpur, India, 2017

mBreath Technologies Private Limited | Machine Learning Division

Development of a deep learning model for intelligent activity classification and sleep detection
IIT Kharagpur, 2020

Department of Electrical Engineering

Deep Reinforcement Learning (RL) for variability prediction in latent heat flux from low-cost meteorological parameters