Debasmita Ray

About Debasmita Ray

With a lifelong passion for analytics, I’ve built my career around transforming data into business value. What began as a curiosity about how data shapes strategy has evolved into hands-on experience across data science, fintech, banking, insurance, and e-commerce. Most recently, I completed a summer internship with KNIME, where I designed intelligent, LLM-powered agentic workflows for supply chain and talent analytics automation. I modernized legacy supply chain dashboards, built both an Inventory Manager Agent and a Talent Acquisition Agent using GPT-4 and modular tooling, and engineered a synthetic data generation model for machine learning testing, all within KNIME’s low-code analytics environment. I’m currently pursuing a Master’s in Business Analytics & Artificial Intelligence at The University of Texas at Dallas, where I’m deepening my technical expertise and applying it to real-world problems. My focus lies in blending strategic thinking with technical execution to design intuitive, scalable systems that drive smarter decisions and operational excellence. During my time at First American, I spearheaded the modernization of the Marketing StoreFront e-commerce platform, managing two development teams and replacing third-party payment solutions with in-house technology, reducing end-user turnaround time by 80%. I also supported product planning and financial forecasting with a strong focus on UX and data-driven strategy. Previously at Wipro, I delivered impactful analytics solutions in the BFSI domain, reducing manual reporting by 70% and implementing automation pipelines that improved scalability, efficiency, and insight delivery. With over six years of analytics experience, I bring a well-rounded mix of technical fluency, business acumen, and process optimization. I’m passionate about building data-powered solutions that empower people, accelerate decision-making, and create lasting impact.

Experience

1. Intern

   KNIME

   Jun 2025 — Present · Austin, TX, US

   Designed and implemented agentic AI workflows leveraging LLMs to automate tasks in supply chain and talent analytics. Built a modular Inventory Manager Agent to handle forecasting, stock comparison, order placement, and delivery tracking using GPT-4 and a low-code workflow platform. Developed a Talent Acquisition Agent to parse resumes and job descriptions using NLP-LLM methods, compute fit scores, and rank candidates based on a dynamic, user-configurable weighting system. Modernized legacy supply chain dashboards by replacing deprecated components and enhancing KPI tracking dashboards for Inventory Valuation, Cycle Time, and Stockouts. Engineered a synthetic data generating model for both fresh and augmented dataset generation using statistical and correlation-aware logic to support machine learning testing and model development.

Education

• National Institute of Technology Agartala

  Bachelor of Technology (B.Tech.)

  2014 — 2018

• Kendriya Vidyalaya

  HIGHER SECONDARY

  2010 — 2014

• The University of Texas at Dallas

  Master's degree

  2024 — 2026