Pankaj Gupta

MSc (Data Science)

Central University of Rajasthan

Hello there!!

I’m a Data Science student currently pursuing my MSc Computer Science (Big Data Analytics) course from the Central University of Rajasthan.

My area of interests includes Machine Learning, Computer Vision and Deep Learning.

I have done my Bachelors in Mathematics and am interested in anything that is mathematically inclined.

I have varied interests which includes sketching, cryptocurrencies, trading, food and the world in general.

Download my resumé.

Interests

Machine Learning
Computer Vision
Artificial Intelligence
Natural Language Processing

Education

MSc in Big Data Analytics, 2019-2021

Central University of Rajasthan
BSc in Mathematics, 2016-2019

Bishop Heber College
HSSLC, 2014-2016

Kohima Science College

Experience

Data Science Intern

Tata Consultancies Services

Feb 2021 – Jun 2021 India

Worked on an NLP project, specifically a question-answering chatbot, wherein I had to test and compare different models like BERT, LSTM and POS tagging to extract entities and return the answer to the given question.

Responsibilities include:

  * Analyzing the dataset
  * Visualization and data exploration
  * Modelling and comparing the results

Data Science Participant

Consulting and Analytics Club, IITG

Apr 2020 – Jun 2020 India

I took part in the Summer Analytics organized by Consulting and Analytics Club of IITG wherein I learnt a lot about various Machine Learning techniques. It was a comprehensive course on Visualization, EDA techniques and ML Algorithms. The last phase of the program had a Capstone Project in the form of a competition where I was placed in the top 50 percentile of the participants.

Things I learnt:

  * Exploratory Data Analysis
  * Visualization techniques
  * Bagging and boosting techniques

Projects

Some projects I’ve worked on

Sudoku Solver

An application that takes in an image of a Sudoku and outputs the solved Sudoku projected on the image. Used variety of Computer Vision techniques to extract the Sudoku grids and solve it and project the solved image.

Multiclass Image CLassification

Classified images of 50 species of butterflies using VGG16, ResNet, InceptionNet and XceptionNet as the head. Retrained the model by using transfer learning.

Fake News Classification

A classification project in which I had to classify the given news article into whether it is Fake or Real. Used Naive Bayes classifier and Passive Aggressive Classifier for the prediction. Passive Aggressive Classifier gave an accuracy of over 99.5%

Employee Attrition Prediction

In this project, I had to predict the attrition rates of employees given 28 features like Age, Department, Gender, etc. Did lots of EDA, Visualization, Feature Engineering and Modelling. Used Random Forest Classifier and parameter tuning. It was a competition wherein I was placed in the top 50 percentile of all participants.