Jun 2023 – Present · 2 yrs 9 mos · Bengaluru, Karnataka, India

• As a Data Science Consultant at NTT Data, I focus on applying machine learning and AI solutions to real-world business problems, particularly in the supply chain domain. I am responsible for developing innovative Proof of Concepts (PoCs) and implementing AI solutions across various projects.
• AI-Driven Predictive Planning: Led the development of a ML based predictive planning solution utilizing time series forecasting to reduce forecast errors.
• Supply Chain Data Readiness Tool: Served as the Data Architect for a state-of-the-art AI-enhanced data readiness tool, streamlining supply chain operations for better data accuracy and decision-making.
• AI Awareness Initiatives: Worked cross-functionally to elevate AI readiness within the organization, leading internal "AI Masters" sessions aimed at fostering a deeper understanding of generative AI and its potential applications.
• Time Series Foundation Models: Co-authored and presented research on the critical evaluation of time series foundation models at the NeurIPS 2024 workshop, contributing to industry-wide advancements in time series forecasting.
• Sentiment Analysis using LLMs: Spearheaded the development of a PoC sentiment analysis tool using Large Language Models (LLMs) for retail clients. This tool analyzes product reviews to provide deeper insights into customer sentiment.
• This role has allowed me to explore innovative uses of AI and generative models, while collaborating closely with stakeholders to deliver practical and impactful solutions.