Pooja bongale
@poojabongale
I build GenAI, RAG, and multi-agent automation systems that improve real-world workflows.
What I'm looking for
At Affine Analytics, I build GenAI and agentic AI solutions, including a multi-agent AutoML pipeline, an AI-powered PowerPoint generator for Crayola, and document automation for Intertek.
I've delivered NL-to-SQL workflows with 90–95% query accuracy and sub-second responses, alongside multi-agent systems that automate machine learning, presentation generation, and structured-document processing. I use Python, AutoGen, LangChain, Microsoft Fabric, Azure AI services, and Streamlit to make complex AI workflows usable.
My project work includes a GraphRAG knowledge graph for clinical trials, a context-aware RAG chatbot for long-form documents, sentiment analysis with BERT and RoBERTa, and CNN-based fish image classification.
Experience
Work history, roles, and key accomplishments
Data Scientist
Affine Analytics
Sep 2025 - Present (1 year)
Designed and deployed a multi-agent AutoML system using AutoGen, achieving 65-70% automation accuracy. Built AI-powered PowerPoint generator and LLM-powered document automation workflows, and engineered an NL-to-SQL agent with 90-95% query accuracy.
Education
Degrees, certifications, and relevant coursework
KLS Gogte Institute of Technology
Bachelor of Engineering, Information Science & Engineering
2021 - 2025
Grade: 9.41/10
Pursued a Bachelor of Engineering in Information Science & Engineering, achieving a CGPA of 9.41/10.
Govindram Seksaria College
Pre-University, Pre-University
Grade: 98%
Completed Pre-University education with 98%.
Divine Providence Convent High School
High School Diploma, High School
Grade: 96.32%
Completed high school education with 96.32%.
Availability
Location
Authorized to work in
Job categories
Skills
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