Sri Vasudev at Times Square, New York

Sri
Vasudev

Data & AI  ·  Product Management
Technology & Management Consulting

Open to 2026 full-time roles  ·  Los Angeles, CA
View My Work Download CV
GitHub · LinkedIn · sri.vasudev14@gmail.com
Experience at
EY Ernst & Young
MTA MTA
IpserLab IpserLab
Consilio Consilio
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 Consulting Engineer with 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
Data and AI visualization
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
3
Cities
4+
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+
Analytics
Technology
Azure. Databricks. GenAI. AWS. Power BI. The full stack of modern enterprise data.
ETL pipelines, cloud data lakes, ML models, 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
M
McKinsey Forward Fellow
2x
Published Author, 2022–2026
Experience

Where I’ve built.

IpserLab
IpserLab LLC
Los Angeles, California
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
IpserLab LLC
Los Angeles · California
GenAI Product Agile

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 skyline
New York City
EY
Ernst & Young LLP
Bengaluru, India · Dec 2022 – Aug 2024

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
Ernst & Young
Consilio
Consilio LLC
Bengaluru, India · Oct – Dec 2022

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
Consilio LLC
Bengaluru, India
eDiscovery Data Legal Tech
Fellowship · Certifications · Projects

Selected work.

McKinsey Forward
McKinsey & Company
Consulting Fellowship
McKinsey Forward Fellow ↗
McKinsey & Company · Dec 2025
AWS
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
SmartChurn
Machine Learning · Mar 2025

SmartChurn

Credit card attrition prediction — 97.17% accuracy, 90.77% precision. CatBoost + SMOTE on 10K records, scaling to 100K+ customers at Great One Bank.

PythonCatBoostSMOTETableau
View on GitHub
HeartBeacon
Machine Learning · Nov 2024

HeartBeacon

Cardiovascular disease prediction pipeline — 90% accuracy on 319K records. 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 automotive culture, sports, fitness and mountains, and travel — things that bring fresh perspectives to how I approach challenges.

Badminton

Sports

Badminton · Cricket · Pickleball

Western Ghats

Mountains & Nature

Hiking & outdoors

New York City

Cities & Travel

Bengaluru · New York · San Francisco · LA

Automotive

Automotive

Car culture & motorsport

Education

Academic foundation.

Pace University
Seidenberg School · New York
MS, Computer & Information Systems
Data Science Engineering & Analytics
May 2026 GPA 3.8
Jain University
School of CS & IT · Bengaluru
BS, Computer Science
Applied CS, Cloud, Data & Analytics
Jul 2022 GPA 3.64
Contact

Let’s talk.

Seeking 2026 full-time opportunities in Data, AI, Product Management, Analytics, and Technology Consulting.

sri.vasudev14@gmail.com
GitHub LinkedIn Resume PDF ↗