Mr. Suklav Ghosh's image

Suklav Ghosh

Integrated MS-PhD Student

Krishnagar, Nadia, West Bengal - 741103

suklav.cs@gmail.com


Research Interests

 1.         Machine Learning

 2.         Algorithms

 3.         Graph Theory

 4.         Automata

 5.         Cryptography

Languages

Bengali

English

Hindi



Details were last updated in July 2022. Please click here or go to the resume link for the latest information. Thank you!! You'll be automatically redirected to the new page.

About

Seven Blessings! Welcome to my homepage. I am an Integrated MS-PhD student in the School of Mathematical & Computational Sciences at the Indian Association for the Cultivation of Science (IACS), Kolkata. I have completed my B.Sc. from the Department of Computer Science and Electronics at Ramakrishna Mission Vidyamandira.
My research interest includes Machine Learning and Artificial Intelligence. Recently, I completed one summer internship in Machine Learning at IIT Kharagpur. I have also completed a one-month training on Machine Learning at Amazon Inc.
I finished one summer internship at IIT Kanpur when I was in the first year of my B.Sc. studies and one winter internship at IIT Kharagpur (Through NPTEL ) when I was in the second year. You can find my resume here.

Work Experience

Machine Learning Student / Amazon Inc.
July 2022

Training on Machine Learning


Summer Intern (ML) / IIT Kharagpur
May 2022 - July 2022

Project Title : "Pulsar Candidates Classification from HTRU2 Datasets"


Project Student / Ramakrishna Mission Vidyamandira
January 2021 - June 2021

B.Sc. final year Project: It's a college management system built using Django. Guide: Prof. Sarbajit Manna.


Project Student / Ramakrishna Mission Vidyamandira
January 2020 - June 2020

Electronics Project : "A Real-Time Arduino Based Automatic College Bell System". Guide: Dr. Ranjit Das.


Winter Intern / IIT Kharagpur
December 2019 - January 2020

Project Title: "Embedded Systems"


Summer Intern / IIT Kanpur
June 2019 - July 2019

NLP Project Title: "Grammar analysis using Haskell"