Rajat Kumar

Rajat Kumar

Data Scientist II

Philips

Professional Summary


With over 4+ years of experience in Research and Development, 250+ google scholar citations, and a master’s degree in Machine Intelligence, I currently serve as a data scientist at Philips Innovation Strategy, where my work is driven by a commitment to enhancing patient outcomes. Collaborating closely with clinical scientists and data architects, I analyze complex numerical, textual, and image datasets to de- velop machine learning models that prioritize patient impact. Previously, I worked as a researcher at TCS Innovation Lab, focusing on developing NLP-based models for intent detection and discovery using large language models (LLMs). Additionally, I gained hands-on experience during my internship at IIT Gandhinagar, where I worked on the development of energy disaggregation algorithms, specifically utilizing the Non-Intrusive Load Monitoring Toolkit (NILMTK) for smart buildings.


  • My Research interests include:
    • Image processing ∩ MRI
    • Deep learning ∩ Natural Language processing
    • Application of Unsupervised and Semi-Supervised methods on real world problems
    • Business Analytics ∩ Machine Learning

  • My Skills include:
    • Research and Development (R&D)
    • Pytorch, Keras, LLM
    • Natural Language Processing (NLP), Image Processing
    • Deep Learning
    • C, C++, SQL (Programming Language)
    • Business Intelligence, Analytics
    • Azure DevOps
    • Microsoft Power BI, Qlik Sense
    • AWS SageMaker

    कर्मण्येवाधिकारस्ते मा फलेषु कदाचन।

    मा कर्मफलहेतुर्भूर्मा ते सङ्गोऽस्त्वकर्मणि॥


Can’t put the phenomenal experience of holding a meaningful pathway ahead after being a sincere M. Tech student at Dhirubhai Ambani Institute of Information and Communication Technology in a few lines. I was supervised by Prof. Amit Mankodi and co-supervised by Dr. Amit Bhatt and Dr. Bhaskar Chaudhary.


<The DREAM that one sees should be BIG enough and WORK-OUT harder to achieve them. Further, I don't perceive a distinction between Time-Pass and Passing-The-Time. I believe learning new things is an immeasurable time pass. By the way, to let you know, Success is a Social-Construct.>

Interests

  • Artificial Intelligence
  • Natural Language Processing
  • Data Science
  • MRI Imaging
  • Image Processing
  • Innovation Planning
  • Innovation Efficiency
  • Business Analytics

Education

  • M. Tech in Machine Intelligence, 2020

    DA-IICT, Gandhinagar, India

  • B. Tech in Computer Science, 2017

    GKV, Haridwar, India

Skills

Python

90%

Statistics

80%

tensorflow-icon

Tensorflow

90%

pytorch-icon

PyTorch

80%

c

C++

90%

sagemaker

AWS SageMaker

60%

azure-boards

Azure DevOps Board

70%

power_bi

Power BI Tool

60%

docker

Docker

60%

Kubernetes

Kubernetes

60%

react

React-JS

60%

qlik

Qlik Sense

80%

Experience

 
 
 
 
 

Data Scientist II

Philips Innovation

Oct 2022 – Present Bangalore, India
My work centers on data science projects that analyze numerical, text, and image-based patient data. Currently, I am focused on motion correction in MRI Spine images to improve imaging accuracy, leveraging advanced data science techniques for impactful, patient-centered insights. I have also developed data-driven dashboards—such as the Project Ranking Tool and IGM Cost Analysis.
 
 
 
 
 

Researcher

Tata Consultancy Services

Sep 2020 – Sep 2022 Noida, India
  • Worked in the NLP subgroup of the Deep Learning and AI group.
  • Have published and patented my work on the Intent Detection and Discovery Problem, which was presented as a main track at the highly-regarded NAACL (A rated) Conference.
  • Tools: Google-Colab, Python, Pytorch, Keras, Jupyter Notebook, GitHub, Docker
 
 
 
 
 

Summer Research Intern

IIT Gandhinagar

May 2019 – Jul 2019 Gandhinagar, Gujarat
Worked on project NILMTK (Non-Intrusive Load Monitoring Toolkit ), an open source toolkit on GitHub which focuses on providing a better interface for energy disaggregation problems. Also got a research paper accepted in ACM BuildSys 2019.
 
 
 
 
 

Teaching Assistant

Dhirubhai Ambani Institute of Information and Communication Technology

Jul 2018 – May 2020 Gandhinagar, Gujarat
Subject taught- Algorithms
 
 
 
 
 

Summer Research Intern

Raman Classes

May 2017 – Jul 2017 Roorkee, Uttarakhand
Summer Training and Internship- Worked on Research Based Projects and Conference Paper. Understood basic ML and Statistics.

Accomplish­ments

ACM Certificate of Participation

See certificate

Flipkart Grid Challenge (Level 1)

See certificate

Summer Research Internship

See certificate

Fundamentals of Deep Learning for Computer Vision

See certificate

Forum for Information Retrieval Evaluation

See certificate

All India Inter University Judo Tournament

Held at Guru Nanak Dev University, Amritsar
See certificate

Gold Medal for scoring 94.8%

See certificate

Projects

*

Recent Publications

(2020). Cross-Platform Performance Prediction with Transfer Learning using Machine Learning. In IEEE.

PDF Code Slides DOI

(2020). Evaluating Machine Learning Models for Disparate Computer Systems Performance Prediction. In IEEE.

PDF Code Slides DOI

(2018). Image based Indian monument recognition using convoluted neural networks. In IEEE.

PDF Slides DOI

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