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Arun Arun 038AA
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Arun Arun 038

@arunarun038

Data Scientist Associate building AI underwriting and document intelligence at DataLabs AI; cut loan review time to 5 minutes.

India
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At DataLabs AI Private Limited, I developed FinSight, an AI-powered financial analysis platform for small-business loan underwriting. It reduced applicant review time from approximately one business day to 5 minutes.

I built a bank-statement processing pipeline with Amazon Textract, then prepared documents for LLM analysis with text chunking, metadata enrichment, and PII guardrails. I also implemented transaction classification and financial risk-scoring workflows to support lending decisions.

At DataLabs AI Private Limited, I developed a real-time multilingual chat application with Python, FastAPI, and WebSockets. Azure Translator and Azure Speech Services enabled translated conversations across 20 languages, plus speech input and spoken output.

At Response Informatics Limited, I developed an AI-powered travel planning assistant and an LLM-powered patient medical history assistant. The medical assistant used an ETL pipeline, embeddings, vector search, and RAG with hybrid search to retrieve relevant patient history for doctors.

Experience

Work history, roles, and key accomplishments

RL

Data Scientist Associate

Response Informatics Limited

Oct 2023 - Jun 2024 (8 months)

Developed an AI-powered travel assistant that generates personalized travel plans based on origin, destination, travel dates, and budget. Built an LLM-powered medical assistant to help doctors review patients' historical medical records using RAG and hybrid search.

Education

Degrees, certifications, and relevant coursework

Mahatma Gandhi University logoMU

Mahatma Gandhi University

Master of Computer Applications, Computer Applications

Grade: CGPA: 8.50

Completed Master of Computer Applications (MCA) with a CGPA of 8.50.

MC

M.A.L.D. Degree College

Bachelor of Commerce, Commerce

Grade: CGPA: 8.00

Completed Bachelor of Commerce (Computers) with a CGPA of 8.00.

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