Product Portfolio
As a results-driven Senior Product Manager with 7+ years of software product experience, I've consistently delivered scalable platforms and AI-powered solutions that have resulted in increased operational efficiency, user engagement & personalization, and business growth. I specialize in product strategy, ML/AI implementation for complex challenges, and building cross-functional alignment to drive innovation. Through metrics-driven decision-making and customer-centric design, I've shipped 8+ high-impact products across industries. My mission is to shape the future of software products that customers love.
01. LLM-Powered Metadata Management Platform (Tubi)
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Why: Metadata validation was a manual, time-intensive process, leading to inefficiencies and errors. Automating this task was essential to save time and ensure data accuracy for internal users & customers.
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What: Designed a platform leveraging large language models (LLMs) to automate metadata validation.
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How:
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Conducted stakeholder interviews to understand pain points and define requirements.
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Collaborated with data scientists to develop LLM capabilities, ensuring contextual understanding of metadata.
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Worked with engineers to integrate the solution into existing workflows, enabling seamless automation.
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Iterated on the solution through multiple rounds of testing and user feedback.
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Impact: Achieved 90% accuracy in metadata validation, saving 120+ hours weekly for internal users. Recognized as a top GenAI innovation by AWS at NAB ‘24.
02. ML Driven Personalization Engine (Tubi)
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Why: Customer engagement needed enhancement to retain users by improving content recommendations.
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What: Built a machine learning-driven personalization engine to dynamically tag and recommend assets.
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How:
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Defined personalization goals and collaborated with data scientists to develop algorithms.
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Integrated machine learning models with the content management system to deliver dynamic recommendations.
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Conducted A/B testing to optimize performance and refine user experiences.
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Provided training and resources to internal teams for effective adoption.
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Impact: Increased retention by 0.5% MoM across ~3,000 digital assets.
03. Centralized Analytics Dashboard With API Integrations (Enterey)
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Why: Teams across functions lacked a unified view of operational metrics, leading to delays in decision-making and inefficiencies.
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What: Developed a centralized analytics dashboard integrating APIs for real-time data sharing across seven business functions.
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How:
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Collaborated with stakeholders to identify critical metrics and data sources.
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Defined API specifications to streamline data integration across platforms.
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Coordinated with engineering to build and test the dashboard, ensuring data accuracy and usability.
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Conducted training sessions for end-users to maximize adoption.
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Impact: Reduced time-to-market by 27%, enabling faster cross-functional collaboration and decision-making.
04. Real-Time Metrics Dashboard and Diagnostic Toolkit (Tubi)
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Why: Operational inefficiencies due to delays in identifying and resolving metric-related issues.
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What: Developed a real-time metrics dashboard and diagnostic toolkit to improve operational efficiency.
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How:
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Identified key operational metrics and collaborated with stakeholders to define dashboard requirements.
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Partnered with engineers to build a real-time monitoring system with diagnostic capabilities.
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Conducted workshops to train teams on using the toolkit effectively.
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Impact: Reduced false KPI alerts by 78% and diagnostics time by 67%.
05. Search And Discovery Optimization (Wayfair)
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Why: Users faced challenges finding relevant products, leading to lower acquisition and engagement metrics.
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What: Enhanced search and discovery features to improve usability and engagement.
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How:
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Performed user journey mapping to identify bottlenecks in search experiences.
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Conducted A/B testing to evaluate the impact of new search filters and recommendations.
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Partnered with design and engineering teams to implement dynamic filters and personalized suggestions.
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Collaborated with marketing to promote loyalty programs and measure their impact.
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Impact: Increased new user acquisition by 22%, customer satisfaction by 35%, and user conversion rates by 15%.
06. Driving Growth Through User Engagement (Tubi)
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Why: To improve user engagement and enhance content performance, driving growth in activity and satisfaction among users.
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What: Delivered scalable solutions to optimize content delivery and engagement through innovative approaches.
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How:
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Conducted in-depth analysis of user behavior data to identify trends and patterns impacting engagement.
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Designed and implemented automated imagery optimization systems, customizing content presentation based on user preferences.
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Collaborated with data scientists to refine and validate machine learning algorithms through iterative testing cycles.
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Partnered with cross-functional teams to integrate solutions seamlessly into existing workflows, ensuring smooth execution.
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Impact: Achieved a 7% boost in asset performance and increased monthly user engagement by 0.4%, significantly enhancing overall user satisfaction and retention.
07. Search Classification System (Tubi)
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Why: Users struggled with poor search results, leading to frustration and reduced content engagement.
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What: Built an AI-based classification system to enhance search accuracy and relevance.
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How:
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Worked closely with data scientists to train and deploy classification models.
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Conducted workshops with stakeholders to refine search parameters and success metrics.
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Performed usability tests with users to validate improvements and collect feedback.
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Created a monitoring dashboard to track search performance post-implementation.
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Impact: Improved Total Viewing Time by 0.6% MoM and significantly enhanced searchability for users.
08. MVP For Mobile Diagnostics Platform (Siemens)
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Why: Legacy systems in diagnostic workflows were inefficient and lacked scalability.
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What: Delivered an MVP for a cloud-based diagnostics platform to streamline workflows and reduce turnaround times.
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How:
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Conducted market research and competitive analysis to identify gaps in existing solutions.
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Defined product requirements based on stakeholder inputs and market insights.
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Partnered with engineering to build the MVP, prioritizing core functionalities for rapid deployment.
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Presented findings and product capabilities to key stakeholders for validation.
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Impact: Reduced test-to-result times by 79% and achieved 93% diagnosis accuracy with 85% internal user adoption.
09. Compliance Tracking System
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Why: To address and resolve compliance gaps across legacy products, ensuring market readiness.
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What: Built an automated compliance tracking system for 105 high priority products.
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How:
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Conducted compliance audits to identify gaps and prioritize critical issues.
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Partnered with cross-functional teams to develop automated tracking tools.
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Ensured continuous monitoring and updates to maintain compliance across international markets
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Impact: Resolved 7,500 compliance gaps ahead of schedule, unlocking $20M in new market opportunities.
