Machine Learning Engineer

SOURAV BANERJEE

Computer Science Engineer

Trying to make sense of the Data

*****************@*****.*** 905*******

Maa Anna Purna Kunj., 68,Nalta Kali-Bari

Road,Nalta,Kolkata-28, India

souravban.github.io

linkedin.com/in/iamsouravbanerjee live:souravbanerjee216 github.com/Souravban medium.com/@souravbanerjee216 EDUCATION

Bachelor of Technology (B.Tech) in CSE

Brainware Group of Institutions

WBCHSE (10+2)

Dum Dum Baidyanath Institution

WBBSE (Class X)

Dum Dum Baidyanath Institution

PERSONAL PROJECTS

1. Document Image Classification on RVL-CDIP

Dataset

Detection of different types of Document images and classify them in different classes like letter, form, email, handwritten, advertisement, scientific report, scientific publication, specification, file folder, news article, budget, invoice, presentation, questionnaire, resume, memo. So It is a Multi-class Classification Problem or we can call it a Computer Vision task.

Tools used: Scikit-learn, Numpy, Seaborn, Pandas,

Matplotlib, Keras with Tensorflow backend, Jupyter

Notebook, Tensorboard.

2. Toxic Comment Classification Challenge

Detection of different types of Toxic Comments and classify them in different classes like Toxic, Severe_Toxic, Obscene, Threat, Insult and Identity Hate. But a Single comment can be classified in multiple classes. So it is a Multilabel Classification Problem.

Tools used: Scikit-learn, Numpy, Seaborn, Pandas,

Matplotlib, Jupyter Notebook, Keras with Tensorflow backend,

SKILLS

Machine Learning Deep Learning Pandas

NLP Computer Vision Python NumPy

Seaborn Scikit-Learn Matplotlib Keras

PUBLICATIONS

Convolutional Neural Network for Dummies

Published a blog "A Quick Guide To Understanding

Convolutional Neural Network" in Medium

Image Classification Decoded: A step-by-step

guide for Newbies

Published a blog "Image Classification on the RVL-CDIP Dataset using VGG16 Network" in Medium

EXPERIENCES

Machine Learning Trainee at AppliedAICourse

Understood the fundamentals of Machine Learning and Deep Learning. Learnt how to build an end to end Machine Learning and Deep Learning Projects.

LANGUAGES

Bengali

Full Professional Proficiency

Hindi

Full Professional Proficiency

English

Full Professional Proficiency

INTERESTS

Travel Cricket Numismatics

Photography Detective Stories

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