Shraddha Gupta I engineer machine learning, LLM architectures, and data pipelines that turn enterprise data into predictive business systems. With over 7 years of hands-on technical experience—including roles as a Senior Data Engineer at LTIMindtree and Associate Consultant at Capgemini—I bridge the gap between raw data infrastructure and modern AI applications. Currently pursuing my MS in Business Analytics at SMU Cox, I focus on building scalable machine learning workflows, RAG architectures, and AI-driven business analytics. Beyond core tabular ML, I'm experienced in modern Generative AI engineering—orchestrating LLMs, implementing vector embeddings for semantic search, and integrating agentic workflows that automate complex enterprise tasks. Proven Impact & Key Highlights: 1) Revenue & Lead Optimization: Built a Python-based lead-scoring algorithm that increased valid prospects by 35% and added $1.2M to the qualified sales pipeline. 2) Applied ML & Financial Risk: Engineered ensemble models (Random Forest, XGBoost) to predict l loan lifecycle risk, saving $130K+ in risk-adjusted lending decisions. 3) Data Engineering & Warehousing: Architected Kimball-style data warehouses and automated SQL d
Graduate Student
Senior Data Engineer
Associate Consultant
Masters, Business
Secondary
