Headline

Lead Data Scientist — Principal IC @ S&P Global | Finance AI | Market Intelligence- Enterprise Solutions

About

Senior Data Scientist | AI/ML for Enterprise AI | 10+ Years Driving Data-Driven Transformation I'm a Senior Data Scientist at GE HealthCare, where I've spent over four years building AI and ML solutions that transform Financial Planning & Analysis (FP&A) operations. My work centers on designing AI-driven workflows for forecasting and NLP applications — including solutions built on Bedrock — that improve efficiency and bring innovation to the finance function. With 7+ years of focused data science experience and 10+ years of broader industry experience spanning Healthcare, AIOps, Product Growth, Supply Chain, and Telecom, I bring a cross-domain perspective to solving complex business problems. My core strengths include: Applied AI/ML for forecasting and business case modeling NLP and generative AI solutions for enterprise use cases Translating data science into measurable operational impact I thrive on collaborating with cross-functional teams to turn analytical insight into scalable, real-world solutions — and I'm passionate about supporting enterprise AI initiatives that drive genuine business transformation.

Location

Bengaluru

AI stack

langchain

Work experience

Data Scientist IV(Lead) at S&P Global, Jul 2026 - Present · 2 mos, Hybrid

Senior Data Scientist at GE Healthcare, Mar 2022 - Jun 2026 · 4 yrs 4 mos, Bengaluru, Karnataka, India, CDAO -- Enterprise AI | Forecasting COE • Optimized business operations by implementing AI and ML solutions, primarily in FPA finance. • Developed advanced workflows to enhance efficiency using AI and ML techniques. • Contributed to innovative AI initiatives in the finance sector, driving transformation. • Built AI workflows for NLP and forecasting use cases utilizing Bedrock technology.

Data Scientist at codemantra, Oct 2019 - Mar 2022 · 2 yrs 6 mos, Product Growth ------------------ Product roadmaps: Developed roadmaps to enhance product with AI capabilities. Worked with stakeholders to achieve short-term and long-term goals. Collaborated with internal stakeholders in identifying and gathering analytical requirements for customer, product and project's need. Computer Vision & NLP: Used Computer Vision architectures to analyse PDF and auto tag documents elements – document structure recognition. Perform entity extraction from searchable contract documents using SpaCy version-2 version-3 for custom NER. Used contextual embedding -BERT for downstream task NER. Data Science Life cycle: Architect the machine learning model development using data science life cycle principles. Translate business requirements into ML use case. Data collection: Use of searchable and image PDF, perform preliminary task such as pre-processing or annotation suitable for downstream task. Build ETL pipelines for data curation, pre-processing and post processing tasks of NLP and computer vision. Built a reliable pipeline for searchable for image PDF. Model Deployment: Build APIs using Fast API for model inference. Check the preliminary info such as inference time request body suitable for production environments. AWS: Use of Sage maker for model building and production use.

Data Scientist at eG Innovations, Dec 2018 - Aug 2019 · 9 mos, Chennai Area, India, Adopting AIOPS principles at eG Innovations. Main focus on Anomaly detection and Forecasting techniques.

Junior Data Scientist at Teragence, Jul 2017 - Dec 2017 · 6 mos, London, United Kingdom, *Analysed Mobile Connectivity issues for UK market Solving Strategic issues concerned with Mobile service providers * Data analysis using Python,R * Data Visualization using Kibana and Tableau * Finding Insights out of data

System Analyst at HCL, Jun 2014 - Sep 2016 · 2 y 3 mo, Chennai

Technical Specialist at HCL, Dec 2012 - Aug 2013 · 8 mo, Chennai

Education

Master's degree, Big Data Science, Queen Mary University of London

Bachelor of Engineering (B.E.), Computer Engineering, ANNA UNIVERSITY - India