V
Vyas Kumar

Vyas Kumar

Data science & AI. Based in Salt Lake City.

Data pipelines. AI agents. Marketing analytics.

I build the systems that turn data into decisions: pipelines, dashboards, and AI agents that replace manual work with reliable infrastructure.

I'm a Data Analyst in Marketing & Product Analytics at REDX, where I own the email marketing infrastructure for 100K+ contacts: weekly newsletters, targeted campaigns, CRM data pipelines, and executive reporting. My work sits at the intersection of marketing and engineering: I've raised open rates from 30% to 50% and CTR from 2% to 6% through engagement-tier segmentation, list validation, and rigorous experimentation.

Before REDX, I was a Salesforce Business Analyst at Selah in healthcare, integrating EHR data models with Salesforce CRM and Marketing Cloud. Outside work, I build AI agent systems: Atreus is a production multi-agent orchestration system running on cloud Linux infrastructure with persistent memory across sessions.

Currently: 2026

  • Shipping Atreus v3: multi-agent orchestration with persistent memory across sessions
  • Owning REDX's marketing data pipeline and executive reporting for 100K+ contacts
  • Exploring: agent evaluation frameworks and vector retrieval at small scale

Experience

REDX

Data Analyst – Marketing & Product Analytics

  • Own end-to-end email marketing for 100K+ contacts via customer data platform
  • Raised open rates from 30% to 50% and CTR from 2% to 6%
  • Architect customer data platform to sales platform pipeline and executive reporting
  • Segmented holiday campaigns using performance analytics to tailor messaging
  • Collaborated with Sales and Product on data-driven go-to-market strategies

Selah Health

Salesforce Business Analyst

  • Integrated Salesforce CRM and Marketing Cloud, boosting lead conversion by 25%
  • Defined 10+ KPIs and developed an EHR HL7 data model
  • Implemented data cleaning with SQL and Python, enhancing data accuracy by 30%

Novac Technology Solutions

IT Intern

  • Analyzed ticket trends and performed root cause analysis, reducing ticket traffic by 5%
  • Processed and maintained cloud infrastructure
  • Reshaped invoicing systems for efficiency

Education

Dallas Baptist University

Master's, Management Information Systems

University of Mumbai

B.Tech, Information Technology

Skills

Marketing & Operations
  • Customer Data Platform
  • Email Automation
  • Sales Platform
  • Looker Studio
  • Marketing Ops
  • CRM Pipelines
  • List Hygiene
  • Customer Segmentation
  • Cohort Analysis
Technical
  • SQL
  • Python
  • Pandas
  • TypeScript
  • Next.js
  • Power BI
  • ETL Pipelines
  • Data Modeling
  • System Design
AI & Infrastructure
  • Multi-Agent Orchestration
  • AI Memory Systems
  • Agent Architectures
  • RAG
  • Semantic Search
  • LLM Evaluation
  • Model Routing
  • LLM APIs
  • MCP (Model Context Protocol)
  • Vector Databases
  • Docker
  • Linux

How I work

Systems over scripts. One-off solutions are a tax you pay later. I build for the second time something needs to run.

Evidence beats opinion. A 30% to 50% open rate isn't a story; it's a measurement that survived rigorous experimentation.

Documentation is part of the deliverable. If the next person can't operate it, it isn't done.

Currently open to data science and AI engineering roles.

Get in touch