---
title: "Aryan Choudhary - Data Scientist in Bengaluru | Tal"
description: "Meet Aryan Choudhary, Data Scientist | Generative AI · LLMs · RAG · LSTM · Financial ML | Automated Report Summarization from Hours to Minutes | Open to Full-Time Roles based in Bengaluru. AI stack includes antigravity, cursor, and langgraph."
image: "https://tal.club/meet/aryan-choudhary/share-image"
---

# Aryan Choudhary on Tal

## Headline

Data Scientist \| Generative AI · LLMs · RAG · LSTM · Financial ML \| Automated Report Summarization from Hours to Minutes \| Open to Full\-Time Roles

## About

Cutting manual financial analysis time by 40% — that's what an automated ETL pipeline looks like in production\. At NUANCE, I build the systems that turn millions of unstructured trading logs into clean, decision\-ready data, and the models that turn that data into an edge\. My work sits at the intersection of machine learning, generative AI, and financial data engineering\. I design and deploy time\-series forecasting models — LSTM, ARIMA, SARIMAX — that improve trading trend predictions\. I build classification pipelines that surface high\-probability trade signals\. I've integrated LLMs with Retrieval\-Augmented Generation \(RAG\) to automate financial report summarization, collapsing a multi\-hour manual task into minutes\. When feature engineering needed to go further, I pushed model accuracy up by 18%\. On the infrastructure side, I orchestrate end\-to\-end data pipelines using Apache PySpark and Apache Airflow, ensuring models retrain on schedule, data flows without failure, and dashboards reflect real\-time profit/loss and trade signal performance\. I've delivered these in Agile sprints alongside cross\-functional teams — contributing to code reviews, scalable ML deployment strategies, and a culture where data drives every decision\. What makes my background unusual is the combination: deep statistical modeling, production\-grade data engineering, and hands\-on Generative AI implementation — all applied to a domain where model accuracy has direct financial consequences\. I don't just build models; I build the pipelines that keep them alive\. Based in Bangalore and open to full\-time Data Scientist roles with teams building serious ML systems — particularly in fintech, AI, or data\-intensive product companies\. Feel free to message me directly\.

## Location

Bengaluru

## AI stack

antigravity

cursor

langgraph

ollama

## Work experience

Data Scientist at NUANCE, Dec 2024 \- Present · 1 yr 7 mos, Bengaluru, 1\. Designed time\-series forecasting models \(LSTM, ARIMA, SARIMAX\) in production, improving trading trend prediction accuracy and enabling leadership to make more confident, data\-driven investment decisions\. 2\. Automated end\-to\-end ETL pipelines using Apache PySpark and Apache Airflow to ingest and clean millions of unstructured trading log entries, reducing manual analysis time by 40% and accelerating model retraining cycles\. 3\. Pioneered a Generative AI solution combining Large Language Models \(LLMs\) and Retrieval\-Augmented Generation \(RAG\) to automate financial report summarization, compressing a multi\-hour manual process to minutes\. 4\. Engineered advanced feature extraction techniques that boosted predictive model accuracy by 18%, directly enhancing trade signal classification performance and driving measurable improvements in strategy outcomes\.

## Education

Bachelor of Technology, Electrical and Electronics Engineering, Techno Main \- Salt Lake

[View the original profile](https://tal.club/meet/aryan-choudhary)

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