Sri
Vasudev

Data, Analytics & AI · Product · Tech & Management Consulting

Turning enterprise data into decisions — across Fortune 500 consulting, public-sector transit, and AI product teams.

Analytics & BI Data & Cloud Product Management Consulting & Strategy

Seeking full-time roles · Analytics · Product · Consulting

View My Work Download CV

Los Angeles, California · Open to relocation anywhere in the US

GitHub · LinkedIn · sri.vasudev14@gmail.com

Ernst & Young

Metropolitan Transportation Authority

IpserLab LLC

AWS Solutions Architect

McKinsey Forward Program

Azure Databricks

GenAI & LLMs

Power BI & Tableau

Management Consulting · Fortune 500, Strategy

HCI International 2026

Product Management

Bengaluru → New York → Los Angeles

Ernst & Young

Metropolitan Transportation Authority

IpserLab LLC

AWS Solutions Architect

McKinsey Forward Program

Azure Databricks

GenAI & LLMs

Power BI & Tableau

Management Consulting · Fortune 500, Strategy

HCI International 2026

Product Management

Bengaluru → New York → Los Angeles

About

At the intersection of
data, AI, and
product strategy.

Data & Analytics Engineer with a consulting foundation — 2.5+ years delivering digital transformation, AI-enabled products, and enterprise data solutions. Currently a Product Manager Intern at IpserLab LLC in Los Angeles — leading GenAI/LLM integration strategy and product requirements for an internal platform.

Previously at MTA in New York and Ernst & Young, deploying AI-enabled SCM solutions for Fortune 500 clients and handling $10M+ in consulting engagements.

AWS Solutions Architect certified. McKinsey Forward alumnus. MS in Computer & Information Systems at Pace University (3.8 GPA).

Analytics & BIData Engineering Azure & AWSAI/ML & GenAI Product ManagementStrategy & Consulting Power BI / TableauSCM

Bengaluru

EY · Consilio

2022 – 2024

New York City

MTA · Pace ’26

2024 – 2026

Los Angeles

IpserLab LLC

2026 – Present

Journey

From Bengaluru’s Silicon Valley to New York, then LA — chasing the hardest problems at the edge of data and AI.

Started in India’s tech capital. Built enterprise solutions at EY. Navigated New York’s transit data at MTA. Now shaping AI products in Los Angeles.

2.5+

Years

Cities

Companies

Impact

Enterprise scale, measurable results. $10M+ in engagements across Fortune 500 clients.

Consulting BI at EY. Transit analytics at MTA. Legal data ops at Consilio. Every engagement accountable to numbers.

Engagements $10M+

F500 Clients 4+

GTM Ops 35+

Technology

Azure. Databricks. GenAI. AWS. Power BI. The full stack of modern enterprise data.

ETL pipelines, cloud data lakes, GenAI workflows, and BI dashboards — built for scale, designed for decisions.

Azure Databricks Power BI GenAI / LLMs AWS

Research & Credentials

Published researcher. McKinsey Forward Fellow. AWS certified. GPA 3.8 at Pace University.

HCI International 2026 publication on LLMs and personality insights. Capstone on agentic AI trust in digital banking.

AWS

Solutions Architect Associate

McKinsey Forward Fellow

Published Author, 2022–2026

Experience

Where I’ve delivered.

IpserLab LLC

Current Role

Product Manager Intern

Los Angeles, CA ·Aug 2026 – Present

Lead product requirements for an internal platform, structuring business goals and engineering constraints into a PRD, user stories, and acceptance criteria anchoring a prioritized Agile backlog and roadmap.
Drive GenAI/LLM integration strategy, evaluating use cases against system architecture and user needs, designing the UAT framework that validates each release against stakeholder requirements.

GenAI/LLMsPRD Writing Jira/ConfluenceUAT DesignAgile

IpserLab LLC

Los Angeles · California

GenAI Product Agile

Metropolitan Transportation Authority

Data Strategy Analyst

New York, NY ·Jul – Dec 2025

Analyzed operational and asset datasets with SQL and AI-assisted analytics; applied GenAI tools for data transformation, improving decision-making accuracy by 20%+.
Designed 3+ data models and Power BI dashboards on Azure Data Lake; enhanced GIS pipelines within HxGN EAM, improving real-time asset visibility across enterprise reporting.
Streamlined cross-functional governance via Jira & Confluence, improving project alignment by 25%.

Azure Data LakePower BI SQLGIS / HxGN EAM

New York City

Ernst & Young LLP

Advanced Analyst, Staff II

Business Consulting, Analytics & Strategy

Bengaluru, India ·Dec 2022 – Aug 2024

Spearheaded EY ASTERISK SaaS platform digital transformation — product roadmaps and GTM strategies for AI-enabled SCM solutions across Automotive and FMCG verticals.
Orchestrated ETL pipelines (Python, SQL, Azure Databricks) for Fortune 500 clients; improved data accuracy 30% and cut time-to-market 20%.
Deployed 10+ Power BI dashboards with KPI and geo-based vendor analytics — 35%+ operational efficiency gain.
Handled $10M+ consulting engagements end-to-end with C-suite stakeholders.

Azure DatabricksPython / SQL Power BISCM / GTM

Consilio LLC

Data Operations Analyst

Bengaluru, India ·Oct – Dec 2022

Designed & implemented cloud-based ETL pipelines for legal eDiscovery forensics, enforcing data privacy and chain-of-custody compliance across 5,000+ legal records under strict regulatory standards.
Built scalable data warehousing solutions and automated analytics workflows in Python and SQL, improving pipeline throughput by 20% and accelerating analytical report generation by 30%.
Partnered with legal and engineering teams to document data lineage and implement audit trails, reducing manual review cycles and strengthening evidentiary integrity across multi-jurisdiction matters.

Python / SQLETL Pipelines eDiscoveryData Compliance

Consilio LLC

Bengaluru, India

eDiscovery Data Legal Tech

Fellowship · Certifications · Projects

Selected work.

McKinsey & Company

Consulting Fellowship

McKinsey Forward Fellow ↗

McKinsey & Company · Dec 2025

Certification

AWS Solutions Architect Associate ↗

Amazon Web Services · Jan 2026

Publications

Revisiting IBM Watson Personality Insights with LLMs ↗

HCI International 2026

Bipolar Occurrence Prediction ↗

Journal of Emerging Technologies and Innovative Research · 2022

Academic Research

"The Suggestive Banker"

Capstone: Consumer Trust in Agentic AI for Digital Banking

Pace University · 2026

Machine Learning · Mar 2025

SmartChurn

Which cardholders are about to leave, and what should the bank do about it? Attrition prediction model at 97.17% accuracy and 90.77% precision — CatBoost + SMOTE on 10K records, scaling to 100K+ customers at Great One Bank.

PythonCatBoostSMOTETableau

View on GitHub

Machine Learning · Nov 2024

HeartBeacon

Which patients carry undetected cardiovascular risk? Prediction pipeline across 319K clinical records at 90% accuracy — Random Forest, Logistic Regression, and SMOTE for clinical risk modeling.

PythonScikit-learnSMOTESeaborn

View on GitHub

Beyond the Desk

What keeps me energized.

Outside of tech, I’m into athletics, travel, city culture, and cars — things that keep perspective sharp and fuel the curiosity I bring to every problem.