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Guttula Manognya

@guttulamanognya

Message

I support global SAP procurement operations and build machine learning and RAG applications in Python.

Ireland

Message

What I'm looking for

I'm looking for opportunities where I can strengthen SAP procurement and business-process expertise while applying Python, machine learning, and RAG to solve practical operational problems.

At Accenture, I support L’Oréal’s NEO AMS Extended Project across global Procure-to-Pay and Forecast-to-Stock processes, managing SAP MM procurement and material-planning scenarios.

I investigate production incidents through root-cause analysis, functional troubleshooting, and cross-team coordination. I’ve been recognized with Star of the Month, a top productivity score for resolving 36 incidents in a month, and a Most Valuable Employee Award.

I also build Python-based machine learning and RAG projects, including water-quality prediction, sentiment analysis, and StudyMate, a document-grounded Q&A assistant using LangChain, ChromaDB, BM25, Sentence Transformers, and Streamlit.

Experience

Work history, roles, and key accomplishments

Current

SAP MM Functional Consultant

Current

Accenture Solutions Private Limited

Jun 2024 - Present (2 years 3 months)

Supported the L'Oréal NEO AMS Extended Project, contributing to global Procure-to-Pay (P2P) and Forecast-to-Stock (F2S) business processes. Managed complex SAP MM procurement scenarios, resolved production incidents, and collaborated with cross-functional teams to ensure successful project go-lives.

Procure To Pay Root Cause Analysis Incident Management Process Improvement Technical Documentation Cross Functional Projects