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Abhik Biswas
West Bengal, India0 followers0 following
- About
- High School
- Bachelor's
- Target
- TOEFL
- GRE
Male
West Bengal, India
Work ExperienceTeaching Assistant
Indian Institute of Technology Madras - Full Time
May 1, 2022 - Present · 4 yrs0
Tamil Nadu, India
Machine Learning Intern
Feynn AI Labs - Internship
May 20, 2022 - Aug 10, 2022 · 3 mos
Assam, India
Market Analyst Intern
Youth India Foundation - Internship
Mar 20, 2022 - Jun 13, 2022 · 3 mos
Odisha, India
ProjectsCapstone Project - EDA of Sales Data of a local Multipurpose Store - done as a part of the Course Business Data Management (BSCMS2001)
Role - Student
for Academic
Sep 5, 2021 - Dec 15, 2021
This is a capstone project done as a part of the Course Business Data Management (BSCMS2001) at Indian Institute of Technology, Madras. This project involved data collection, Exploratory Data Analysis of the data and finding relevant insights that could improve the sales of the store from which data was collected. The project was completed with a short discussion on the steps involved in project completion with an industry expert from IIT Madras.
Research PapersDetecting Diseases in Paddy using Machine Learning
Jun 8, 2022 - International Journal for Research in Applied Science & Engineering Technology (IJRASET)
In this paper, the main focus has been placed on the detection of various diseases in paddy such as bacterial leaf blight, bacterial leaf streak etc., using Convolutional Neural Networks. Detection by the human eye may not always be timely and accurate, but detection using an automated process at regular intervals of time may prevent significant crop losses due to these diseases.
Bayesian MCMC Approach to Learning About the SIR Model
Jun 11, 2022 - International Journal for Research in Applied Science & Engineering Technology (IJRASET)
This project aims to study the parameters of the Deterministic SIR(Susceptible → Infected → Recovered) model of COVID-19 in a Bayesian MCMC framework. Several deterministic mathematical models are being developed everyday to forecast the spread of COVID-19 correctly. Here, I have tried to model and study the parameters of the SIR Infectious disease model using the Bayesian Framework and Markov-Chain Monte-Carlo (MCMC) techniques. I have used Bayesian Inference to predict the Basic Reproductive Rate in real time using and following this, demonstrated the process of how the parameters of the SIR Model can be estimated using Bayesian Statistics and Markov-Chain Monte-Carlo Methods.
The use of Different Filters and their effects on Convolution with Grayscale Images
Jul 28, 2022 - International Journal for Research in Applied Science & Engineering Technology (IJRASET)
Computer vision is ubiquitous in the world today, starting from unlocking phones to robots performing complex surgeries in hospitals and managing the assembly line in factories. In this paper, the focus has been placed on the use of filters or kernels or masks and their effects when convolved with grayscale images.
VolunteeringStudent Volunteer
at National Service Scheme
Aug 5, 2019 - Apr 10, 2022
Poverty Alleviation programmes