Tanuj Upadhyay

De-risked a global project launch by assessing and testing novel AI PM tools, delivering a strategic framework that identified key opportunities for task automation and workflow efficiency.

Optimized stakeholder communication and alignment by creating a unified project plan for a Global Career Fair, leveraging AI-driven insights to forecast resource needs and potential bottlenecks.

Contributed to product planning and documentation by evaluating new technologies and identifying process improvements to enhance digital experience initiatives.

Coordinated with cross-functional teams to track project execution and ensure timely delivery of key milestones.

Shaped critical business strategy by executing Bayesian inference analysis on complex CDC data, transforming statistical findings into clear data visualizations that drove executive decision-making.

Developed and deployed a predictive logistic regression model in Python, applying log normalization techniques to enhance donor identification efficiency by 2.3% over the automated baseline model.

Translated complex model findings into strategic recommendations for stakeholders, creating interactive dashboards in Power BI to visualize performance and business impact.

Conducted market research and data analysis to support product strategy and feature development for digital health solutions.

Achieved a 15% increase in product adoption by shipping a platform that automated credibility scoring and portfolio generation, directly solving the core user problem and reducing recruiter screening time by an estimated 60%.

Drove a 20% increase in user growth by architecting the platform's core gamification and monetization strategy, creating a multi-tiered system that fundamentally improved user engagement and retention.

Reduced time-to-market by 15% by leading a strategic pivot from a mobile app to a web platform, which allowed for faster prototyping, validation cycles, and a more focused engineering effort.

Managed the entire product lifecycle from ideation to launch, coordinating with engineering, design, and marketing teams to ensure successful feature delivery and user satisfaction.