---
title: "Jai S - DVP - Data Science in Chennai | Tal"
description: "Meet Jai S, BFSI | AI Products based in Chennai. AI stack includes cursor, opencode, and claudecode."
image: "https://tal.club/meet/jai-s/share-image"
---

# Jai S on Tal

## Headline

BFSI \| AI Products

## About

AI leader with 12\+ years of experience engineering high\-impact, revenue\-generating ML products\.

## Location

Chennai

## AI stack

cursor

opencode

claudecode

## Work experience

DVP \- Data Science at Cholamandalam Investment and Finance Company Limited, May 2026 \- Present · 4 mos, Chennai, Tamil Nadu, India, Data science engagement lead for the Loan against property business unit \- From originations till collections\.

Visiting Faculty at Boston Institute of Analytics, Apr 2025 \- Present · 1 yr 5 mos, Visiting faculty

Senior manager \- Data Science at Yubi, Sep 2022 \- May 2026 · 3 yrs 9 mos, Chennai, Tamil Nadu, India, Scaling Data Products \- Led a 10\-member team to deliver end\-to\-end alternate data\-based AI product roadmaps and Credit / Fraud risk models\. Driving Revenue & Strategy: Pivoted the practice to secure five tier\-1 UAE banks, generating \~$2M in annual revenue while strategically onboarding vendors to cut operational costs by $400K\. Engineering High\-Performance AI/ML: Developed a CBUAE\-compliant, high\-throughput scoring API handling 2\.5M\+ annual calls and launched a GenAI\-powered Bank Statement Analyzer that exceeds industry benchmarks in accuracy and latency\. Innovating with Agentic AI: Pioneering next\-gen solutions using LangGraph, including dynamic voice bots for collections and automated GenAI credit\-memo \(CAM\) report generation\.

Senior Consultant \- Advanced analytics & AI at EY, Aug 2021 \- Sep 2022 · 1 yr 2 mos, Chennai, Designed & launched AISpendAnalyzer—a Databricks \+ Azure Data Factory \+ Flask platform that auto‑classifies spend transactions into Gartner/TBM taxonomies, cutting manual tagging work >90% and unlocking real‑time budget visibility\. Embedded active‑learning feedback loops: finance users review/edit taxonomy buckets; corrections flow back to retrain the model, steadily boosting classification accuracy release over release\. Productized the solution as a plug‑and‑play SaaS module, integrating with enterprise ERPs and BI tools, and positioning the D&A practice as a go‑to partner for spend‑intelligence modernization\.

Consultant \- DataScience at Verizon, Apr 2020 \- Aug 2021 · 1 yr 5 mos, Greater Chennai Area, Engineered a national‑scale demand‑forecasting engine \(Force‑to‑Load\) for 1,000\+ Verizon retail stores, stacking fbprophet \+ pmdarima to predict footfall, handling‑time, and wait‑time—powering smarter staffing and inventory decisions across the U\.S\. Architected a behavior‑driven customer‑journey analytics framework that clusters SiteCatalyst clickstream data and maps high‑volume paths with NetworkX, exposing low‑conversion funnels and boosting feed‑card campaign ROI for iPhone SE/11 launches\. Led a five‑member e‑commerce analytics squad to define KPI dashboards \(CTR, CTA, path‑conversion\) and rapid A/B feedback loops— compressing insight turnaround from days to hours\. Deployed an XGB accessory‑propensity model combining clickstream signals, behavioral‑DNA profiles, discount exposure, and purchase history— delivering a projected $400K incremental revenue and significant lift in accessory sales\. Productionized ML pipelines & championed MLOps best practices, and mentored associates in advanced analytics and AI, elevating data‑science maturity across Verizon’s marketing organization\.

## Education

College of Engineering, Guindy

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

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