Dhaya Raja

• Executed competitive intelligence benchmarking Wayfair against 2 competitors (Amazon, Walmart) across 9 pricing data points to inform go-to-market pricing strategy.
• Reduced manual research time by 85–90% by building a live BI dashboard (23+ KPIs across 6 modules) tracking market sizing, growth (CAGR 2025–2033), and product-attribute trends.
• Implemented automated competitor tracking and marketing content generation using a multi-agent AI system (n8n).

• Spearheaded brand strategy, marketing, and external relations for the launch of OSU's first Product Management Club, growing organic social reach to 11.4K+ views across Instagram, LinkedIn, and Discord.
• Orchestrated speaker partnerships with senior tech leaders (Microsoft VP, Principal PM), elevating brand credibility and driving campus-wide engagement.

• Scaled a content brand from the ground up to 27K+ followers and 34K+ average monthly viewership, applying audience insights and trend research to a recurring content calendar and organic growth strategy.

• Synthesized BeReal's business model, funding history, and competitive landscape into a visual business snapshot, benchmarking 6+ product features against Snapchat's retention and engagement outcomes for stakeholders.
• Coded user sentiment across BeReal and Snapchat, finding 44% of BeReal streak feedback cited bugs or lost streaks, and used it to position a "forgiving, authentic" streak against gamified competitor mechanics.
• Crafted a Problem → Insight → Solution → Evidence → Impact narrative and 8-slide stakeholder pitch, backed by a 6-person focus group: 5 of 6 would use the feature again, 4.5/5 brand-authenticity fit, 2 of 3 competitor-app users would consider switching to BeReal.

• Reduced open accessibility issues by resolving 2,000+ cases across 5 clients in a 3-month window, supporting brand-consistent, compliant web experiences.

• Launched and marketed the product to 500+ downloads; presented go-to-market and positioning strategy to a board of judges at the capstone fair.
• Increased product reliability pre-launch by designing and executing 16 edge-case and 8 fallback test scenarios to support user acquisition.

Stack: React Native, Next.js, Figma, KPI Tracking · github.com/adulbrich/ephira

• Designed and built a full-stack AI-powered historical experience using Base44, translating museum stakeholder needs and audience research into an interactive exhibit narrative.
• Implemented AI image-generation workflows to visualize historical locations lacking archival photography, enhancing audience engagement with the exhibit.

Stack: Base44, Prompt Engineering, AI/UX, Application Development · corvallis-time-travel.base44.app