MADHUKUMAR GOPAL

Senior Data Scientist with 13+ years of IT experience including 10+ years of hands-on expertise delivering production-grade machine learning, deep learning, NLP, and Generative AI solutions across Insurance, Semiconductor, Financial, Pharmaceutical, and Analytics domains driving measurable outcomes including $2M+ cost reductions, 40% performance improvements, and 95% reduction in manual data review effort. • Owned end-to-end data science project lifecycle across structured and unstructured large-scale datasets — from data extraction, cleaning, and feature engineering through statistical modelling, visualization, and production deployment — with hands-on experience designing ER diagrams and data schemas. • Strong skills in statistical methodologies such as A/B testing, experiment design, hypothesis testing, and ANOVA. • Experience in designing Star Schema and Snowflake Schema for Data Warehouse and ODS architecture. • Solid ability to write and optimize diverse SQL queries; working knowledge of RDBMS like SQL Server and NoSQL databases like MongoDB. • Hands-on experience with Data Analytics Services such as AWS Athena, Glue Data Catalog, and QuickSight. • Proficient in building and deploying predictive models using AWS SageMaker for scalable and production-grade ML workflows. • Experience building Generative AI solutions using LangChain, RAG pipelines, and vector databases (FAISS, Pinecone, ChromaDB) for enterprise-level knowledge retrieval. • Expertise in developing NLP models using PyTorch and building intelligent applications using pretrained LLM models from Hugging Face. • Excellent understanding of Agile and Scrum development methodology; used version control tools like Git and build tools like Apache Maven. • Experience in visualization tools like Tableau and Power BI for creating interactive dashboards and data storytelling for business stakeholders.