Vishwanath Subramanian

vishsubramanian.work@gmail.comSeattle, WAvishsubramanian.me

Accomplished data leader with substantial expertise in technology management and a proven track record of achieving significant results.

Experience

Senior Director,Data – Personalization & AI

2021 - Present

Samsung ElectronicsSeattle, WA

Maintain custom golden profile – core to all marketing, Machine Learning and personalization activities
Manage all adtech backbone and Samsung integrations with agency
Support Customer Data Analytics leading a globally team distributed across US, Korea and India
P&L - Drive retargeting programs with incremental revenue over $300M using automated personalization engines and advanced AI to target customer behavior on Samsung.com/us
Enable AI integration and ML workflows using Samsung-internal LLM
P&L Responsibility accountable for over $300M in revenue using data activations across channels
Build out 360 views of Customer data consolidating 100+ data sources for CRM
Collaborate with Samsung leadership in Headquarters and work across teams in India, US and S Korea for delivery
Manage 5+ Managers that supported workstreams including Privacy, Personalization and Core Customer data
Integral to onboarding Samsung's first ever Customer Data Platform (CDP) to set up foundation for near real-time personalization and multi-channel targeting
Key innovator with 1 provisional patent filed for Automated Personalization Engine
Key partner with Legal, Privacy, Trust and Safety teams
Recipient of 2024 Samsung CEO global award – (one of the 11 employees awarded out of 20K+ employees in the US)
Tech Stack: Google Cloud, AWS, In-house Samsung LLMs (Gauss) and tooling

Director, Data Analytics and Engineering

2017 - 2021

StarbucksSeattle, WA

Lead Enterprise Data Analytics enabling data services across the organization across all domains – Retail, Supply Chain, Marketing, Customer etc.
Lead a 100+ global team consisting of Platforms, Data, Operations and Managed Applications.
Built out Enterprise Analytics Platform at scale.
Deployed AI/ML solutions resulting in over $8M incremental revenue across projects
Innovated on internal frameworks like Deep Brew (AI/ML), InfraGenie (Azure Infra) and BrewKit (DS/Engineering environments)
Support Data Science at Starbucks to deliver next gen personalization and real-time analytics working closely with the business.
Focused on building out automated frameworks for democratizing responsible AI/ML at scale.
Winner of multiple Starbucks 'Bravo' award for delivering business results (2019, 2020)
Responsible for all things enterprise analytics data wrt governance, security and enablement.
Tech Stack: All things Azure

Director, Consumer Data Engineering

2014 - 2017

NikePortland, OR

Part of core team that built the Next Generation Analytics Platform
Built data products with a 360 degree view of Nike customers tracking engagement across millions of users traversing multiple petabytes of data (project Apollo)
Built the internal Nike Member Identifier – a grain to identify over 100 million Users effectively across experiences
Enabled Data Science and Machine Learning at Scale to power Nike Personalization. Built out first generation Data Science Factory patterns.
Part of core team that built the Next Generation Analytics Platform at PB scale.
Built the Member Identifier grain (Member ID) that is the bedrock of all Nike Member engagement initiatives
Powered multiple metrics and operational tools – Infrastructure reporters, EMR monitors, web applications to monitor report runs.
Rated "Exceptional" Employee (highest Rating) due to my contributions on the above projects.
SME on Hadoop and related tools
Tech Stack: AWS , Python, R, Hadoop, Pig, Scala, Spark, SQL, Cassandra, SaaS products, ML frameworks, Tensor Flow

Engineering Manager

2012 - 2014

AOLDulles, VA

AOL Mail Deliverability Manager, managed all customer issues involving sending/receiving AOL Mail – More than 500 customer requests per day from a system that processed more than 6 billion emails per day
Speared the implementation of critical industry impacting initiatives such as DMARC rollout
Managed a cross functional team building out customer support tools using multiple technologies
Analysis of issues across Mail systems
Wrote multiple algorithms to help customer user experience using big data processing languages such as Apache Pig
Designed and implemented production environment complex scripts that consume millions of rows of data daily to generate user migrations across hardware (Project Ziptopia)
Managed up escalations and reporting to Executive Management as well as external customers.
Executed multiple big data projects using technology stack including Flume, Hbase, Pig
Represented AOL at industry events such as MAAWG – Anti Abuse Working Group
Tech Stack: LAMP, Tableau, On-prem, Hadoop, Early versions of Spark

Senior Analyst, Customer Data

2011 - 2012

US AirwaysPhoenix, AZ

Analysis of customer service complaints to justify policy changes and analyzing customer data for insights.
Forecasting financials and goal setting for multiple processes
Report Automation and statistical analysis on large data sets.
Spearheaded the piloting of the airline's Social Media engagement including Vendor selection, building custom Tools for advanced metrics
Proactively involved in knowledge transfer, and process optimization
Creation of ad-hoc tools/ dashboards for executive management

Presentations & Talks

Spark AI Summit 2020 Keynote speaker

2020

Microsoft Build Digital Transformation at Starbucks 2018

2018

MS Build Hyper Personalization Applications with Reinforcement 2019

2019

Simplify Distributed TensorFlow Training for Fast Image Categorization at Starbucks 2019

2019

Skills

Programming Languages

SQLPythonJavaScriptSpark

Technologies

GCPAWSAzureDockerLAMP

Tools

GitJenkinsTableauPower BISuperset

Awards & Recognition

Samsung CEO Award (2024)

• Starbucks Bravo Awards (2020, 2019)

• Recipient of full International Student Scholarship from the University of Arizona

2010 Gallo Technical MBA Case Competition (1st Place)

Education

University of Arizona

Master of Business Administration in Information Systems

University of Madras

Master of Science in Applied Science

University of Madras

Bachelor of Science in Mathematics

Maintainer

Anonify

Anonify is dedicated to empowering users with control over their online privacy. Our browser extension and other tooling provide real-time insights into website tracking practices, helping you make informed decisions about your digital footprint.

View Project →

Chess Game Analyzer

This extension can be used to enhance your chess game with instant AI-powered analysis of your chess.com matches. This extension provides deep insights into your gameplay, helping you improve your strategic thinking and tactical awareness. Chrome Extension, Next.js, Tailwind CSS, Vercel

View Project →