Sahana Chandra

Strategy & Process Standardization • Own product roadmap for ADA compliance platform serving 1,600+ collegiate athletic websites, defining feature priorities based on regulatory requirements and business impact through 2026 • Partnered with operations teams to establish standardized data categorization framework in Jira, eliminating inconsistent naming conventions across teams •Designed centralized CRM data structure using unique client IDs to ensure consistent tracking across platforms, replacing fragmented team-specific tracking systems Cross-Functional Project Collaboration •Collaborated with operations to define data governance processes ensuring consistent client information across multiple software platforms •Established data standards and taxonomy for compliance metrics, enabling unified reporting and eliminating data silos between teams •Created roadmap strategy for four engineering teams, breaking complex compliance initiatives into executable increments Stakeholder Management & Measurable Impact •Built PowerBI dashboards providing real-time insights on WCAG/Section 508 compliance status across 1,600+ universities for internal client reporting •Defined KPIs to track compliance progress, litigation risk reduction, and platform adoption—maintaining 85%+ accuracy •Implemented standardized client data model reducing reporting errors and improving cross-platform data consistency

Cloud Infrastructure & Platform Architecture • Owned product vision and technical architecture for vehicle infotainment and VIN registration platform processing 1M+ telemetry records via Azure cloud infrastructure, defining requirements for data ingestion, storage, and transformation layers supporting GM's electric vehicle fleet • Drove end-to-end cloud migration of data repositories and CI/CD pipelines from Azure to GitHub Enterprise, re-architecting orchestration workflows in Azure DevOps and reducing deployment time by 40% • Led full-stack development using Java and Clojure to build ETL pipelines extracting vehicle safety and performance data from multiple sources, transforming for analytics consumption, and loading into Elastic Search data store Data Pipeline Performance & Scalability • Partnered with data engineering teams to optimize pipeline performance, reducing processing time by 30% through improved transformation logic, partitioning strategies, and schema optimization for safety-critical datasets • Implemented data observability and monitoring frameworks using Azure DevOps to track pipeline health, data quality anomalies, and SLA compliance—reducing incident response time by 50% • Established data modeling standards and schema evolution practices ensuring backward compatibility across VIN registration and infotainment system integrations, supporting seamless updates across 500K+ connected vehicles Governance & Regulatory Compliance • Defined data quality frameworks including validation rules, error handling, and data reconciliation processes for vehicle safety datasets required for NHTSA regulatory reporting • Established metadata management practices documenting data lineage, business definitions, and transformation logic to support regulatory audit trails and cross-functional analytics consumption

AI Product Ownership & Enterprise Deployment • Owned AI diagnostic bot product for EC50 handheld scanner deployed at Walmart and Target stores nationwide, defining product strategy, feature roadmap, and technical requirements for enterprise retail operations • Presented EC50 AI diagnostic solution at National Retail Federation conference, demonstrating real-time device troubleshooting capabilities to 5,000+ retail technology decision-makers and securing $2M+ in enterprise contracts • Drove development of customer attribute systems integrating device usage data with CRM platforms for marketing activation, enabling targeted campaigns based on operational patterns and device health metrics Data Lake Architecture & Cloud Migration • Partnered with Google Cloud Platform team to architect and launch Data Lake solution for ERP device data, designing ingestion pipelines for structured and semi-structured data sources supporting real-time analytics • Defined product requirements for batch and streaming ETL processes, enabling warehouse operations analytics for enterprise customers and reducing data latency from hours to seconds • Built PowerBI dashboards consuming data lake outputs, providing product adoption metrics and operational insights to sales and customer success teams, driving 25% improvement in customer retention • Established data cataloging and metadata management standards, improving data discoverability for analyst teams across Walmart and Target deployments

Project: Teen Harm Reduction Talk Life (A peer support Network for Mental Health) Environment: Natural Language Programming, Agile, Python, SQL, R , Google Cloud Platform, HTML

●Florida International University, Miami, FL May 2018 – Aug 2018 High School Intern, CREST (Center for Aquatic Chemistry & Environment) Project: CREST Database Environment: Natural Language Programming, JavaScript and C++

● Worked under the guidance of Dr. Niki Pissinou & Col. Jerry Miller on cooperative game theory to compared the efficiency of game theory with a statistical analysis created in R. ● Presented “The Conceding Equilibrium” at International Sensor Network Symposium on cooperative Game Theory within a Debate game.