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Jai S

BFSI | AI Products

Chennai

6+ years of work experience

Cholamandalam Investment and Finance Company Limited
May 20264 mosPresent

Chennai, Tamil Nadu, India

Data science engagement lead for the Loan against property business unit - From originations till collections.
Boston Institute of Analytics
Apr 20251 yr 5 mosPresent

Visiting faculty
Yubi
Sep 20223 yrs 9 mosMay 2026

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.
EY
Aug 20211 yr 2 mosSep 2022

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.
Verizon
Apr 20201 yr 5 mosAug 2021

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.

Jai’s AI Stack

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Education

College of Engineering, Guindy

College of Engineering, Guindy

20104 yrs2014

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Headline

BFSI | AI Products

About

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

Location

Chennai

AI stack

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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