Rajat Kumar

Rajat Kumar

Data Science Associate II

Philips

Professional Summary


I have accumulated around 3+ years of professional experience across various R&D teams. Currently, I am part of Philips Innovation Planning Office where I am creating value and impact by delivering meaningful insights, Prescriptive Analytics, and transfers to the business that contribute to Philips growth.

  • Apply and drive operational excellence in execution, working on continuous improvement and focusing on quality
  • Build new predictions and prescriptions based on data that gives significant value to the business
  • Represent Philips (Research) internally and externally on one or more competency domains
  • Perform Market research and analysis to build Industry and Market threshold and benchmarks.

I have experience in developing AI algorithms for healthcare applications using AWS. Previously, I worked as a Researcher at TCS Innovation Labs, where I published and patented my work on the Intent Detection and Discovery Problem. I also have experience as a Summer Research Intern at IIT Gandhinagar, where I worked on the open-source toolkit NILMTK.


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

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

Download my resume.

<What could possibly be a virtual verse? A Personal Computer?>

<Why Information is the new HIGH?>


    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
  • 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 Science Associate II

Philips Innovation Planning Office

Apr 2023 – Present Bangalore, India

Responsibilities include :

  • Create value and impact by delivering meaningful insights, Prescriptive Analytics, and transfers to the business that contribute to Philips growth
  • Apply and drive operational excellence in execution, working on continuous improvement and focusing on quality
  • Build new predictions and prescriptions based on data that gives significant value to the business
  • Represent Philips (Research) internally and externally on one or more competency domains
  • Perform Market research and analysis to build Industry and Market threshold and benchmarks.
 
 
 
 
 

Research Associate II

Philips Research

Oct 2022 – Mar 2023 Bangalore, India

Responsibilities include :

  • Explore and develop a variety of (AI) algorithms for health care applications
    • Interprets and analyses data
    • Build Natural Language Processing applications
    • Adopt powerful text representations
 
 
 
 
 

Researcher

Tata Consultancy Services

Sep 2020 – Sep 2022 Noida, India

Responsibilities include :

  • Development of
    • Research Prototypes
    • Tools
    • Products
 
 
 
 
 

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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