Shoumili Bandyopadhyay

I've built and tested LLM workflows at VaultofCodes, iterating on prompts to improve response relevance and reduce ambiguity. I also created reusable prompt templates that supported recurring automation tasks.

At Infosys Springboard, I analyzed competitor and customer data for a Competitor Strategy Tracker, cleaning and structuring raw datasets to surface e-commerce insights. I translated ambiguous business questions into repeatable analytical approaches and documented analysis pipelines for reuse.

My projects include SoulDrift, an NLP-based mental wellness chatbot that classifies journal-entry emotions and tailors responses. I've also built a voice-activated accessibility search system with TensorFlow and a full-stack travel-planning platform using Node.js and MongoDB.

I'm a final-year Computer Science student focused on Data Science and AI, bringing SQL, Python, statistics, machine learning, and applied AI to business and data-quality problems.