Tryphena Chettupally

• • Lead BI and analytics delivery and initiatives for enterprise clients including Coca-Cola Store, AthenaHealth, Subaru, Hilton Grand Vacations, and Noodles & Company, addressing critical business deficits and needs into scalable reporting and measurement solutions.
  • Serve as the strategic liaison between client stakeholders and technical teams, aligning requirements, KPIs, and implementation plans to answer business questions.
  • Lead end-to-end delivery (discovery → solution design → QA/validation → launch → optimization) across dashboards, reporting, and digital measurement initiatives.
  • Built analytics dashboards and reporting pipelines integrating marketing, CRM, and product data sources including Salesforce, HubSpot, GA4, and BigQuery to provide leadership with unified GTM performance insights.
  • Developed KPI frameworks and reporting systems that aligned marketing, product, and revenue metrics across CRM and digital platforms, enabling stakeholders to track pipeline performance, user engagement, and campaign impact.
  • Built executive-ready dashboards in Power BI, Tableau, and Data Studio, improving visibility into performance and operational outcomes
  • GTM analytics, commercial strategy, & revenue operations
  • Improved data quality and trust by validating tracking and source data, standardizing reporting logic, and resolving discrepancies across systems.
  • Automated recurring reporting and analysis workflows to reduce manual effort and increase consistency (saved ~50 hrs/week).
  • Developed advanced customer segmentation and attribution models that leverage demographic, behavioral, and transactional data to improve targeted marketing strategies.
  • Built models that identify meaningful customer cohorts, lifecycle stages, and engagement patterns.
  • Connected marketing spend, ad spend, product usage, and customer behavior to LTV and unit economics, enabling data backed decisions that improved acquisition efficiency and long term revenue performance
  • Developed strategic initiatives to enhance operational efficiency and effectiveness across multiple departments.

• • Built and optimized reporting data structures using SQL, ETL, and data modeling to improve reliability and performance of BI outputs.
  • Designed and operationalized full funnel analytics frameworks linking CAC, LTV, retention, and revenue performance, enabling data driven decisions that improved growth efficiency and investment strategy, especially in mortgage markets
  • Developed advanced customer segmentation and attribution models that leverage demographic, behavioral, and transactional data to improve targeted marketing strategies.
  • Built cohort based analytics on jumbo mortgage backed securities, evaluating LTV distributions, prepayment behavior, and risk exposure to drive portfolio optimization and investment insights
  • Translated stakeholder requirements into data + reporting specifications, mapping business needs to measurable reporting logic.
  • Automated recurring Tableau deliverables to reduce manual report generation and improve turnaround time.
  • Created and maintained implementation + monitoring documentation, standardizing controls and operational processes across the team.
  • Integrated third-party analytics solutions into active initiatives and ensured consistency across source data and downstream reporting.
  • Drove process improvements through standardization and automation opportunities across analytics workflows.

• • Integrated BI assets into CRM workflows, improving the accessibility of analytics for service and business teams.
  • Partnered with internal and external stakeholders to define requirements and deliver data-backed reporting solutions.
  • Implemented Tableau automation to reduce manual effort and improve consistency in recurring reporting.
  • Developed cohort and funnel analytics connecting user behavior to LTV and retention outcomes, driving improvements in conversion, engagement, and long term customer value
  • Supported analytics production through SQL, ETL processes, and data modeling to strengthen reporting structures.
  • Delivered custom dashboards and interfaces tailored to stakeholder priorities and performance needs.
  • Developed advanced customer segmentation and attribution models that leverage demographic, behavioral, and transactional data to improve targeted marketing strategies.
  • Built models that identify meaningful customer cohorts, lifecycle stages, and engagement patterns.

• Built and maintained SQL queries that captured, validated, and managed machine-generated shopfloor data used to run Abbott Freestyle Libre manufacturing equipment.
• Connected marketing spend, product usage, and customer behavior to LTV and unit economics, enabling data backed decisions that improved acquisition efficiency and long term revenue performance
• Built a unified analytics ecosystem that enabled cross-functional KPI alignment and improved executive decision-making
• Delivered insights that drove measurable improvements in conversion rates, engagement, and operational efficiency
• Developed and supported automated SQL workflows (scheduled SQL jobs) to keep EDHR/MDS/MES data current and production-ready.
• Supported and enhanced shopfloor and Manufacturing Engineering (ME) systems (EDHR, MDS, MES), ensuring reliable data flow from machines to manufacturing databases.
• Investigated protocol and systemic deviations using data analysis and root-cause methods; partnered with ME and operations to implement corrective actions.
• Coordinated with shopfloor operators, ME, and developers to prioritize fixes, deploy updates, and stabilize production systems with minimal disruption.
• Authored technical documentation (design specs, test procedures) and created engineering change orders (ECOs) to support redesign and process updates.
• Tested system/process changes and implemented method updates to reduce repeat defects and improve final-product quality.
• Supported product performance inquiries through the Dealer Support Network (DSN), translating field/manufacturing issues into actionable system improvements.

• Established long term customer relationships by using effective communication and active listening skills.
• Attended trainings and workshops to learn about new products and then shared this information with customers.
• Analyzed key aspects of business to evaluate factors driving results and summarized into presentations.
• Conducted interviews with key business users to collect information on business processes and user requirements.
• Improved business direction by prioritizing customers and implementing changes based on collected feedback.

• Use of both statistical methodology and quantitative analysis
• Analyze, document and test program development, logic, process flows and specifications for releasing our product and services both for internal and external operations
• Inspection through statistical analysis of production and data quality
• GMP manufacturing for clinical trial testing
• Pulled variant file using python scripting and built database pipeline to pull data from sequencer
• Some scripting based on project and on-project basis
• Data Visualization using R-studio, Cell Ranger, and Python
• And use of R and SQL for building data models
• Resolved data discrepancies and performed duties as requested by management for in-depth analysis
• Identified process inefficiencies through GAP analysis.