Pooja User
@poojauser18
I build production fraud detection and enterprise RAG solutions for fintech products.
What I'm looking for
At Easebuzz, I build production Machine Learning and Generative AI solutions for fintech products, including credit card fraud detection and enterprise RAG applications.
I develop scalable pipelines spanning data ingestion, preprocessing, feature engineering, training, evaluation, inference, deployment, and monitoring. My fraud detection platform processes 15,000+ daily transactions and improved ROC-AUC from 0.84 to 0.94, achieving 92% precision and 85% recall.
I also built FinPolicy AI, an internal RAG chatbot that reduced document search time by 70%, improved retrieval relevance by 30%, and reduced hallucinated responses by 40%.
Experience
Work history, roles, and key accomplishments
Data Scientist
Easebuzz
Jul 2024 - Present (2 years 2 months)
Designed and delivered production Machine Learning and Generative AI solutions for fintech products, including Credit Card Fraud Detection and Enterprise RAG applications. Developed scalable data pipelines and optimized models for precision, recall, and ROC-AUC.
Education
Degrees, certifications, and relevant coursework
AISSMS IOM, Pune
Master of Business Administration, Business Analytics & Marketing
2021 - 2022
Pursued an MBA in Business Analytics and Marketing, gaining skills in data-driven decision-making and business strategy.
COCSIT, Latur
Bachelor of Science, Computer Science
2017 - 2020
Completed a Bachelor of Computer Science, building a strong foundation in computer science principles and programming.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/pooja-kallureJob categories
Skills
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