---
title: "Syed A. - Data Scientist Intermediate in Bengaluru | Tal"
description: "Meet Syed A., Data Scientist Intermediate at Equifax India based in Bengaluru. AI stack includes claude code, gemini, and github copilot."
image: "https://tal.club/meet/syed-a-1/share-image"
---

# Syed A\. on Tal

## About

I'm an AI Engineer who came up through Data Science — which means I don't just build pipelines, I build pipelines for the models and reports that actually depend on them\. At Equifax India, I've spent 4 years inside the BFSI credit risk stack\. My core work: migrating legacy reporting infrastructure to Google Cloud BigQuery, cutting query performance time by 75% and enabling real\-time credit risk insights for business stakeholders\. I've engineered RPA \+ BigQuery state\-machine pipelines \(Playwright\-based, cloud\-native\) for distributed job tracking, and built automated data\-quality controls using Gemini 2\.5 Flash that cut anomaly review time from 6 hours to 1\.5 — without sacrificing accuracy\. I also design and ship the systems on top of that data: an Agentic AI Orchestration Platform \(LangGraph \+ Vertex AI\) that automated end\-to\-end credit insights reporting, cutting report generation from 24 hours to 6 and reducing manual effort by 90%\. And a Generative AI Financial Analyst Agent that lets non\-technical stakeholders query static BI reports in natural language, with dynamic SQL generation and autonomous web\-search for root\-cause analysis\. Outside my day job, I build in public\. CreditAI is a fully offline, local\-LLM fraud and credit\-risk analyzer I built from scratch — OCR ingestion, transaction parsing, rule\-based fraud detection, and a bureau\-style risk score, all air\-gapped for privacy\-sensitive environments\. VentureScope is a multi\-agent system that turns startup pitch decks into structured investment memos in minutes instead of hours\. Both are open source on GitHub\. I was also 1 of 500 selected \(from 13,000 applicants\) for Anthropic's Claude Code Hackathon\. What I'm looking for: Data Engineering roles where cloud pipeline design, data contracts, and governance meet real business stakes — ideally in BFSI, fintech, or risk\-heavy domains where I can bring both the pipeline rigor and the applied AI instincts\. Tools I work in daily: GCP \(BigQuery, Vertex AI\), Python, SQL, LangGraph, XGBoost, Playwright, Tableau/Looker\. Open to connecting with data engineering leaders, BFSI/fintech teams, and anyone building agentic AI systems in production\. Reach out — or check the Featured section below for CreditAI and VentureScope demos\.

## Location

Bengaluru

## AI stack

claude code

gemini

github copilot

langchain

opencode

claudecode

## Work experience

Data Scientist Intermediate at Equifax India, Feb 2026 \- Present · 7 mos, Bengaluru, Karnataka, India

Data Scientist at Equifax India, Dec 2022 \- Feb 2026 · 3 yrs 3 mos, Bengaluru, Karnataka, India, Migrated legacy reporting infrastructure to Google Cloud BigQuery, improving SQL query performance by 75% and unlocking real\-time credit risk insights for business stakeholders across the org\. Engineered a cloud\-native RPA pipeline \(Playwright headless automation \+ BigQuery\-backed state machines\) for distributed job tracking and execution — replacing manual, error\-prone reporting workflows\. Automated data quality control using Gemini 2\.5 Flash, analyzing SQL anomalies and auto\-generating human\-readable summaries — cutting review time from 6 hours to 1\.5 while holding accuracy constant\. Designed and deployed an Agentic AI Orchestration Platform \(LangGraph \+ Vertex AI\) that automated end\-to\-end credit insights reporting — reducing manual effort by 90% and compressing report generation from 24 hours to 6\. Built a Generative AI Financial Analyst Agent enabling natural\-language queries over static BI reports \(Tableau, Looker, PPT\), with dynamic SQL generation and autonomous web\-search for root\-cause analysis using internal \+ external market data\. Developed a high\-performance XGBoost model for credit default risk prediction in new customer acquisition, outperforming legacy scorecards through advanced feature engineering and cross\-validated early stopping\. Led BNPL market analysis for Australian bureau evaluation, quantifying revenue impact of CCR data integration and conducting retrospective credit risk attribution at point\-of\-sale scoring\. Led cross\-functional teams to eliminate critical reporting bottlenecks, cutting project turnaround time by 60%, and built structured onboarding programs that raised new\-hire accuracy from 85% to 95%\.

Data Scientist Intern at Equifax India, Aug 2022 \- Nov 2022 · 4 mos, Bengaluru, Karnataka, India

Software Engineer at Dalisoft Technologies Pvt Ltd, Feb 2022 \- Jul 2022 · 6 mos, Bengaluru, Karnataka, India, \- Android Application Development for Industry 4\.0 \- Designing and Integrating Database for Android Application \- Designing Databases using Microsoft SQL Database Management System \- Experience in object\-oriented design and analysis, software development methodologies, and software testing

Software Engineer Trainee at Dalisoft Technologies Pvt Ltd, Jul 2021 \- Jan 2022 · 7 mos, Bengaluru, Karnataka, India, \- Design and Developing Screens using ICONCS for application in Industry 4\.0 \- Designing Databases using Microsoft SQL Database Management System \- Learnt to Design and Develop Databases using MS SQL

Network Engineer Trainee at iOPEX Technologies, Apr 2021 \- Jun 2021 · 3 mos, India, Completed training on basics of Networking, Switching, Routing, NAT, Service Security IKE ISAKMP, TCP, and SSL\.

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Presidency University Bangalore

[View the original profile](https://tal.club/meet/syed-a-1)

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