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Madhukumara Narasimhan

Data Scientist @ Philips | Cloud, AI, Retrieval-Augmented Generation (RAG) & Agentic AI

Role
Data Scientist at Philips
Location
Tampa, FL, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Madhukumara Narasimhan

Transforming Data into Revenue: Analytics Leader Specializing in KPI Development, Cloud Data Engineering, and AI/ML Pipeline ReadinessI am an accomplished Data Scientist and Analytics Manager with over 15 years of experience in the full data lifecycle, now specializing in the architecture and deployment of cutting-edge AI technologies, particularly Retrieval-Augmented Generation (RAG) systems.My deep experience in enterprise data platforms (Azure Data Factory, Databricks, Synapse, AWS, GCP) is critical for MLOps and LLM success. I focus on building the high-quality, scalable data foundation required for RAG, including:Data Ingestion & Chunking: Structuring and automating the extraction of unstructured data from diverse sources (documents, databases) using Python-based frameworks.Vectorization & Indexing: Designing efficient data models and pipelines to transform proprietary business data into high-performance vector stores (the \"Knowledge Base\" for RAG).Pipeline Orchestration: Leveraging Azure/Cloud certifications (Logic Apps, Function Apps) to automate the end-to-end RAG pipeline, ensuring real-time data synchronization and high-availability retrieval for LLMs.I am skilled at transitioning vague requirements into impactful tools and KPIs, and I apply this outcome-driven approach to AI deployment—ensuring that LLM applications are grounded, accurate, and directly support defined business outcomes across sales, service, and implementation. I am dedicated to architecting reliable, scalable, and secure AI solutions that drive measurable business value.

Experience

  1. Data Scientist

    Philips

    Aug 2021 — Present · Tampa, FL, US

Education

  • Visvesvaraya Technological University

    Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering

Skills

  • Etl
  • Business Intelligence
  • Testing
  • Unix
  • Data Modeling
  • Qlikview Development
  • Shell Scripting
  • Tableau
  • Sql
  • Qlikview
  • Data Warehousing
  • Informatica
  • Oracle
  • Requirements Analysis
  • Microsoft Sql Server
  • Integration
  • Pl/Sql

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Madhukumara Narasimhan — Data Scientist at Philips in Tampa, FL, US | Unifers