• Leading 0→1 discovery and prototyping of an ML-powered camera feature in collaboration with Google Pixel, identifying friction in utility-driven capture flows and reimagining post-capture interactions through intent-based workflows

• Designing and testing AI-driven interaction models that map detected visual elements (text, objects, scenes) to contextual next actions, reducing time-to-task for everyday use cases like document capture, translation, and information extraction

• Synthesized user research, competitive analysis, and technical feasibility (on-device ML, intent ranking, deep linking) to define product flows, prioritize edge cases, and evaluate trade-offs between accuracy, latency, and cognitive load

Supervised by Heather Whiteman, Ph.D., Professor of People Analytics, Information School, UW–Seattle

• Analyzed large-scale organizational and collaboration datasets (~1.7K employees) to model performance, engagement, and behavioral signals, uncovering gaps in how collaboration and performance are measured in People Analytics systems

• Built end-to-end analytical workflows including feature engineering, PCA, clustering, regression, and hypothesis testing to translate unstructured behavioral data into structured, decision-ready insights

• Applied research to real-world contexts by contributing to organizational survey design and burnout measurement frameworks, shaping how employee signals are captured and interpreted

• Designed and deployed A/B tests to improve user engagement with Accolade’s health guidance feature, optimizing content and UI to increase click-through rates across 160K+ users

• Built Scout, an internal AI assistant that delivers tailored competitor insights and streamline knowledge sharing across internal teams

• Partnered with Data Science to build a conversion propensity model to enable targeted outreach to high intent users and improving campaign efficiency through precision segmentation. Defined the prediction problem and label logic, identified key behavioral features, and evaluated multiple tree based models to determine the optimal performance threshold.

Supported the rollout of ITIL-based Knowledge Management across UW Medicine ITS, streamlining documentation workflows and improving process compliance.

Collaborated cross-functionally to migrate and audit service data in ServiceNow (UNITE), create SOPs and training materials, and enhance ITSM processes including Knowledge and Change Management.

Strengthened skills in stakeholder collaboration, process optimization, and digital system implementation.

Products: Digital Kisan Credit Card, Digital NRI (Non-Resident Indian) Customer Onboarding Journey

• Led 0→1 launch of a Digital Lending Platform, executing product roadmap, and driving cross-functional product development; showcased the product at the 2023 G-20 Financial Summit

• Reduced onboarding time from 30+ days to under 10 minutes by digitizing identity verification (KYC), underwriting, and approval workflows, integrating credit bureau, fraud, and financial data into a real-time decisioning engine

• Architected core financial flows across identity, risk, and core banking systems, defining APIs and integrations (credit bureau, Finacle, eMandates) to ensure low-latency, compliant, and scalable transactions

• Enabled instant access to approved credit for users via direct-to-account disbursement, designing payment flows and aligning cross-functional stakeholders to launch

• Aligned Sales, Risk, Compliance, Engineering, etc on product strategy, enabling adoption through sales-led GTM, training, and data-backed policy decisions

Skills: UX Research · Usability Testing · Product Management · Product Vision · Analytical Skills · Stakeholder Management · User Research · A/B Testing · Jira · Wireframing · KPI and Metrics Analysis