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Anubrata Bhowmick

Anubrata Bhowmick

Research Scientist

Quest Medical Imaging | Netherlands

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Course

Introduction to Functions in Python

My New Course

Introduction to Python

My New Track

Python Fundamentals

Data painter, using visualization to bring insights to life.

My Work

Take a look at my latest work.

course

Introduction to Functions in Python

course

Introduction to Python

course

Intermediate Python

course

Introduction to Functions in Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Introduction to AI Agents
Understanding Artificial Intelligence

My Work Experience

Where I've interned and worked during my career.

Quest Medical Imaging | Mar 2023 - Present

Research Scientist

In my current role, I am orchestrating the end-to-end design, implementation, and optimization of the company's AI infrastructure, encompassing cloud deployment, automated data preprocessing, high-performance computing, security, and monitoring. Alongside this, I am actively collaborating with researchers in the medical domain to create state-of-the-art algorithms in hyperspectral imaging. This collaborative effort involves leveraging our advanced infrastructure to facilitate the development of cutting-edge solutions that hold immense potential for revolutionizing medical diagnostics and imaging technologies. Through these interdisciplinary partnerships, I am contributing to both the technical foundation and innovative applications of AI within the medical field, further positioning Quest as a trailblazer in AI-driven advancements.
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Philips | Aug 2022 - Feb 2023

Data and AI Scientist - Philips Research

Research and Development of novel Real-Time Asset/Patient Management algorithms for various businesses and ventures. Patent submitted: Floor Hopping Analysis Tool

Philips | Sep 2021 - Feb 2023

Management Trainee

The management traineeship is a two-and-a-half-year rotational program for high-potential, Master joiners in which the trainees participate in three different assignments within the Philips organization. The program is set up to quickly gain experience broadly within the company while making a lasting impact on the teams they work in.

Philips | Sep 2021 - Aug 2022

Data Scientist - Mother and Child Care

1. Led the research and development of AI use-cases in Mother and Child Care, in collaboration with Philips Research and Personal Health Data Science and AI team. 2. Collaborated with the PH Data/AI Strategy team to develop a Data/AI strategy (leveraging the common framework) for Baby Tech with clearly identified and recognized value signed-off by the Business. 3. Teamed up with Business Product Management and PH Data/AI team, to create a healthy backlog of analytics and AI use cases. 4. Represented Mother and Child Care in the Philips AI Community of Practice, showcasing the AI prowess of MCC at the Philips level.

University of Twente | Feb 2020 - Aug 2021

Graduate Teaching Assistant

Programming 2: Lab Work and project mentorship using C++, especially concentrating on Data Structures and Algorithms. Python Programming: Basic Python Programming from beginner to advanced, including a capstone project. Brain-Computer Interface: Assisted in grading and carrying out lab activities, and creation of new lab materials for the upcoming year.

Neuromatch Academy | Jul 2021 - Jul 2021

Interactive Student

Interactive student: Computational Neuroscience with the project in Working Memory task.

Philips | Aug 2020 - Jun 2021

Research And Development Intern

images to be used as atlas over the preprocessed T1 images with 97% accuracy. Cluster Analysis of the correlation matrices in native space and MNI space, showing that native space analysis does a comparatively better job in finding the correlation of the regions of the brain. Created baseline methods using Logistic regression and multi-layer perceptron, with around 70% classification rate. Research and Development of novel Graph Neural Network models to study biomarkers of brain resilience. Tech Stack: Python, Matlab

Tata Consultancy Services | Aug 2016 - Feb 2019

System Engineer

Researched and developed a classification algorithm for blacklisting customers based on behavior patterns, and past records for optimizing onboarding patterns in our TCS BaNCS platform. Multiple product developments and enhancements, including customer blacklisting, BaNCS payment system, and new insurance product pipeline, helping BaNCS business grow over 30% annually.

My Education

Take a look at my formal education

Master of Science - MS, Financial EngineeringWorldQuant University | 2025
Master of Science - MS, Computer ScienceUniversity of Twente | 2021
Bachelor of Technology (B.Tech.), Information TechnologyBengal Institute Of Technology | 2016

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