Paresh Nagore

I’m an AI-focused Analytics Engineer with 9+ years of experience building scalable data platforms, automation pipelines, and decision-support systems across Banking, FinTech, Consulting, and Media. I focus on production-grade solutions that turn complex data into reliable outcomes.

Currently, I’m leading Treasury & Wholesale Banking analytics at IDFC First Bank, delivering scalable data solutions using Python, PySpark, AWS, and SQL. I built an end-to-end AI pipeline to automate regulatory trade confirmation validation by transcribing dealer calls with Whisper STT, extracting structured parameters with LLMs, normalizing outputs, and reconciling against treasury data to generate automated mismatch reports.

I’ve also engineered an NLP-based email classification model for wholesale covenant monitoring (using NER, TF-IDF, and classification algorithms), reducing manual review effort and turnaround time. On the data engineering side, I architected a centralized Treasury Datamart from Data Lake tables to ensure 100% daily refresh of critical datasets, and migrated SAS-based processes to PySpark & AWS to improve daily MIS reporting efficiency.

In parallel, I design and build LLM-powered systems—multi-agent workflows, contextual retrieval pipelines (RAG), and AI-driven automation frameworks—applying agent orchestration, context engineering, and intelligent search. I enjoy integrating reasoning, memory, and tool use to create scalable AI systems that drive real business automation.