Indranuj Gangan

About Indranuj Gangan

Data Scientist with around 4 years of experience in data science, machine learning, natural language processing, time series analysis, statistical modelling and artificial intelligence. Some career highlights include:Productionized a virtual patient model for internal use, reducing clinical trial costs by 30M, and successfully submitted the model to the FDA for regulatory review.Built statistical models (linear mixed effects model) to evaluate the association of workout intensity on glucose outcomes, providing key insights that guided algorithm design for next-generation products impacting users.Led the transition of an insights system from vendor-operated streaming to an in-house batch processing architecture using PySpark on AWS, achieving a 25% reduction in operational costs.Skills:Languages: Python, SQL, R, MATLABFrameworks/Libs: TensorFlow, PyTorch, Scikit-learnGenerative AI: LLMs, RAG, LangChain, Vector Databases, GroqAgentic AI: LangGraph, CrewAIData: ETL Design, Data ModelingVisualization Tools: Tableau, Power BIDatabases: PostgreSQL, MySQL, NoSQLDistributed Framework: PySpark, Apache Spark, KafkaCloud: AWSMLOps: MLflow, Docker, Git version control, Github Actions, CI/CDStatistical Techniques: Hypothesis testing, A/B Testing

Experience

1. Data Scientist Associtate Consultant

   ZS

   Nov 2025 — Present

Education

• Smt. Sulochanadevi Singhania School(ICSE)

  Indian Certificate of Secondary Education

• University of Mumbai

  Bachelor of Engineering (B.E.), Biomedical/Medical Engineering

  2015 — 2019

• The Johns Hopkins University

  Master of Science and Engineering - MSE, Biomedical Engineering(Data Science)

  2019 — 2021