Naga Sudha Vathsavai

• Designed and executed personalized onboarding playbooks, reducing time-to-first-value (TTFV) for new customers. • Leveraged analytics (funnel analysis, time series, segmentation) to identify onboarding bottlenecks and optimize workflows. • Built customer-facing dashboards to showcase onboarding progress and feature adoption benchmarks. • Conducted training sessions and product walkthroughs tailored to customer segments (SMB vs. enterprise). • Collaborated with Customer Success to ensure a smooth transition from Sales → Onboarding → Post-Sales CS.

• Assisted clients in exploring and adopting GenAI-powered solutions such as chatbots, document summarizers, and AI assistants. • Supported proof-of-concept development by preparing data, testing prompts, and experimenting with retrieval-augmented generation (RAG). • Helped evaluate AI outputs by conducting benchmarking and quality reviews (accuracy, relevance, and usability). • Collaborated with internal teams to translate business requirements into practical AI use cases. • Contributed to training sessions and client workshops on prompt engineering and GenAI best practices.

• Improved customer retention and adoption by creating data-driven health scores and monitoring product engagement. • Applied machine learning models (churn prediction, segmentation, cohort analysis) to proactively flag at-risk customers. • Partnered with Sales and Product to translate customer insights into roadmap priorities and upsell opportunities. • Led Quarterly Business Reviews (QBRs), using data visualization and ROI storytelling to strengthen renewals and expansions.

• Performed data entry and validation to ensure the accuracy and completeness of records. • Managed large datasets, performed data cleaning, and resolved discrepancies. • Assisted in data analysis for reporting and business insights. • Maintained customer records and transaction details in company databases. • Collaborated with teams to streamline data processing workflows and improve efficiency.

Relevant Coursework: Statistical Methods, Intro to Probability Theory, Applied Machine Learning, Time Series Analysis I, Deep Learning, Optimization for Data Science, Big Data Technologies, Marketing Analytics, Supply Chain Analytics Graduated with a Master of Science - Data Science at Stevens Institute of Technology. Worked on understanding how to integrate data and algorithms into real-time business processes.