Hi, I am Varun Kukreti

A Masters student of Computer Science

With interest in the broader applications of Data Science, Machine Learning and Deep Learning and actively exploring the related domains including Federated Learning and Computer Vision.

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About Me

Currently, I am a Masters student of Computer Science at the Indian Institute of Technology (IIT), Ropar, India. Previously, I did Bachelors in Electrical Engineering from the National Institute of Technology, Hamirpur, India. My past experiences include internships at the Queen Mary University of London, the IISER Thiruvananthapuram and the IIT Hyderabad. Presently, I am engaged as a project collaborator along with the University College London and the Institute and Faculty of Actuaries, United Kingdom.


I am interetsed in Data Science, Machine Learning and Deep Learning and their wider applications. I am currently looking for opportunities in these areas, both in the industry and in the research & development sectors, and I am always open for collaborations. Please feel free to contact me through Email for anything.


Expertise

Programming Languages

Python

C

C++

R

MATLAB

Mathematical Skills

Linear Algebra

Probability

Statistics

Convex Optimizations

Machine Learning and Deep Learning

Frameworks : Tensorflow and Keras

Libraries : Numpy, Pandas, Matplotlib, Seaborn and Plotly

Visualization Tools : MLFlow, WandB and Tableau

Others : Scikit-Learn and OpenCV

Softwares and Platforms

Databases : SQL and MongoDB

VCS : Git

Containerization Apps : Docker and Kubernetes

Platforms : Windows and Linux

Qualifications

Education
Work

Master of Technology in Computer Science and Engineering

Indian Institute of Technology Ropar, India
CGPA: 8.86/10
2024 - 2026

Bachelor of Technology in Electrical Engineering

National Institute of Technology Hamirpur, India
GPA: 8.48/10
2020 - 2024

Project Collaborator

University College London, United Kingdom
August 2024 - December 2024

Remote Research Intern

Queen Mary University of London, United Kingdom
May 2023 - September 2023

Project Intern

IISER Thiruvanthapuram, India
May 2023 - June 2023

Research Intern

India Institute of Technology Hyderabad
May 2022 - September 2022

Alpha Tester

DeepLearning.AI
June 2021 - February 2022

Interests

Data Science

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Data Science

  • I have worked with basic data analytical techniques that are needed during the pre-processing and visualizations.

  • I have also worked on methods to establish the degree of similarities between the datasets and balancing the datasets.

  • I am also well versed with tools like Tableau and other libraries like Matplotlib, Seaborn and Plotly that are needed for visualizations and provide essential insights in the data.

Machine Learning

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Machine Learning

  • I have fundamental and mathematical understanding of the basic machine learning algorithms.

  • I have implemented many of these in my previous projects.

  • I am also well versed with Python and other tools including Jupyter Notebook and Google Colab that are essential for machine learning.

Deep Learning

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Deep Learning

  • I have basic understanding and knowledge about the deep learning and the neural networks.

  • I have developed and implemented basic AI models, including deep learning and neural networks.

  • I have worked with CNNs, RNNs and LSTMs in the past engagements. I primarily use Tensorflow, Keras and somewhat Pytorch for most of my implementations.

Federated learning

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Federated Learning

  • I have gained sound understanding of the fundamentals of the Federated Learning.

  • I have worked with frameworks like Flower the past and have some experience in them.

Computer Vision

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Computer Vision

  • I have fair understanding of the Vision systems and the fundamentals of these.

  • I have worked with GradCAMs, CNNs, Object Detection etc. in the past.

Others

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Others

  • I poses a sound undertanding of the fundamental data structures and algorithms.

  • I am also well versed in working with basic tools including Git, Linux, SQL etc.

Projects

Most Recent Work including Internships and Projects

Federated Learning in Financial Environments.

Implementation of Federated Learning in financial computing with practical use in the financial sector.

Ongoing

Distributed Music Generation

Training an LSTM in distributed manner for effiiciency in Music Generation.

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Federated Learning testing for Femnist dataset

Testing the project on the Femnist dataset.

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Credit Card Fraud Dataset Class Imbalance Fix

Using synthetic data generation to handle the class imbalance in the dataset.

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Brain Tumour Segmentation Dataset Similarity

Finding similarities between two image datasets - source and target - used for Brain Tumour Segmentation.

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Emoji Localization and Classification

Detecting and classifying the emojis present on an image.

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Twitter Sentiment Analysis

Analyzing the nature of the tweets made and labelling them as either positive or negative.

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Book Recommender System

A recommendation system for the books based on past choices made.

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Disturbance and Fault Detection in Induction Motor using Deep Learning Algorithms

The faults in induction motors are detected using the deep learning algorithms.

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Contact Me

Get in touch

Google Chats

varunkukreti2002@gmail.com, thevarunkuk@gmail.com

Email

varunkukreti2002@gmail.com

Location

India