Shantanu Chandra

AI Researcher

Bengaluru, Karnataka, India7 yrs 4 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led innovative AI projects in healthcare and supply chain.
Published novel works in top AI/ML venues.
Expert in deep learning and natural language processing.

Stackforce AI infers this person is a Healthcare and Supply Chain AI Specialist with deep expertise in machine learning.

Contact

Skills

Core Skills

Applied ResearchProblem SolvingDeep LearningMachine LearningNatural Language Processing (nlp)Computer Vision

Other Skills

Unstructured DataUnsupervised LearningPyTorchSupervised LearningGenerative AIResearchStatistical AnalysisManagementLeadershipArtificial Intelligence (AI)Data ScienceComputer SciencePythonPython (Programming Language)

About

I have lead the conceptualization and development of various cutting-edge AI projects in the fields of clinical trials (patient level data), supply chain (inventory and yield optimization) and revenue management. With a research-based Master's in AI (cum laude) from the University of Amsterdam, I bring a rigorous academic foundation to the team's data science endeavors. My over 6 years of Data Science journey has been fueled by a commitment to transform healthcare through technology, from developing Hypergraph neural networks to pioneering Patient Digital Twins as well as Batch Manufacturing Digital Twins with publication of the novel works in top AI/ML venues. I strive to not just chase metrics, but rather craft solutions for real-world challenges, guided by a passion for data and its power to effect tangible societal change.

Experience

Oracle

Principal AI Scientist

Apr 2025 – Present · 1 yr

IC4
Working on Oracle Health Clinical Digital Assistant (CDA) for advancing multi-agentic systems to reimagine how Electronic Health Records (EHR) operate — with the goal of improving workflows, empowering clinicians, and ultimately driving real-world impact in healthcare.

Zs

2 roles

Sr. AI Research Scientist

Promoted

Jul 2023 – Mar 2025 · 1 yr 8 mos

Building AI for supply chain management (SCM) and revenue management (RM) and leading a team of data scientists to unlock the true potential of GenAI-based simulations.

Problem SolvingApplied ResearchUnstructured Data

AI Research Scientist

Nov 2020 – Jun 2023 · 2 yrs 7 mos

Working on frontier innovation projects using deep learning methods in the space of healthcare. Projects involving Hypergraph neural networks for representation learning, quantifiable evaluation techniques for data privacy of cross-sectional data, GenAI frameworks for patient-level medical data generation (Patient Digital Twins), GenAI frameworks for Supply Chain Management (predictive maintenance, yield optimization via batch simulations, inventory optimization, etc)

Unsupervised LearningProblem SolvingPyTorchApplied ResearchSupervised LearningGenerative AI+4

University of amsterdam

4 roles

Graduate Teaching Assistant

Feb 2020 – Apr 2020 · 2 mos

Graduate Teaching Assistant for the Masters course NLP-2

Unsupervised LearningPyTorchComputer VisionSupervised LearningResearchDeep Learning+2

Graduate Teaching Assistant

Jan 2020 – Mar 2020 · 2 mos

Teaching Assistant for the Masters course Information Retrieval 1

Unsupervised LearningPyTorchSupervised LearningResearchDeep LearningNatural Language Processing (NLP)+1

Graduate Teaching Assistant

Oct 2019 – Jan 2020 · 3 mos

Teaching Assistant for the Masters course Natural Language Processing

Unsupervised LearningPyTorchSupervised LearningResearchDeep LearningNatural Language Processing (NLP)+1

Graduate Teaching Assistant

Oct 2019 – Jan 2020 · 3 mos

Teaching Assistant for the Masters course Deep Learning

Unsupervised LearningPyTorchSupervised LearningResearchDeep LearningNatural Language Processing (NLP)+1

Institute for logic, language and computation (illc) - university of amsterdam (uva)

Graduate Student Researcher

Nov 2019 – Aug 2020 · 9 mos · The Randstad, Netherlands

Masters Thesis on modelling the structure and linguistic behaviour of online communities to detect misinformation using Graph Neural Networks.
In collaboration with: Facebook AI Research (London) and University of Cambridge.

Unsupervised LearningProblem SolvingPyTorchApplied ResearchSupervised LearningResearch+3

Braincreators

ML Research Intern

Jul 2019 – Aug 2019 · 1 mo · Amsterdam, North Holland Province, Netherlands

Project 1 - Multiple object detection and tracking of farm animals for behavioral analysis
Project 2 - Pose estimation of animals for fitness evaluation

Unsupervised LearningPyTorchSupervised LearningResearchDeep LearningNatural Language Processing (NLP)+1

Vupico

Data Scientist

Jul 2016 – May 2018 · 1 yr 10 mos · Hyderabad Area, India

Communicated with stake holders to understand business needs and demands accurately.
Translated the communicated business requirements into technical challenges for the team.
Suggested latent needs to stakeholders, and guided the Hadoop and Machine Learning teams with conceptualization, planning and building design architectures for the same.
Fluent with common data science toolkits, such as Pandas, NumPy, Scikit-learn,Matplotlib,Seaborn, PyTorch.
Fluent with machine learning algorithms, namely regression(linear and logistic), Decision Trees, Random Forest, GBT, SVM, neural networks, k-NN, ARIMA, , Naive Bayes.
Developed and deployed sales forecasting model from SAP sales data by bringing data into Hadoop using Talend and modelling ARIMA with multiple input features.
Developed and deployed Predictive analytics POCs for Banking(Loan Risk analysis AND Credit Card Fraud Detection), Telecommunication and Retail sector(sales forecasting) as Big Data Solutions.
Worked on data visualization tools such Tableau, Apache Zeppelin.