Anusree R

At TransOrg Analytics, I preprocessed and cleaned datasets for predictive modeling and contributed to data preparation, feature selection, model development, and evaluation. I also built interactive Power BI and Tableau dashboards to show KPIs, trends, and business insights.

At TransOrg Analytics, I designed a 13-node generative AI agentic pipeline using LangGraph and Gemini for an AI-powered travel itinerary planner. It integrated Tavily and three external APIs to generate budget-aware recommendations across five spending tiers.

On my AI Meal Planner & Grocery List Generator project, I built a six-agent LangGraph pipeline with a retry loop and parallel LLM calls. I also implemented a FastAPI backend with JWT authentication and a deterministic validation layer for allergy, dietary, and calorie constraints.

I built an end-to-end customer-support ticket classification project with Python and scikit-learn, achieving 87.52% accuracy on real-world tweets. My other projects include a Spotify genre classifier and a modular MLOps pipeline; I’m interested in applying data science, machine learning, and AI engineering to practical problems.