Jun 2025 – Present · 9 mos

• 1. Lead long-term product strategy for Ivy Clearance, Target’s enterprise hub for clearance pricing.
• 2. Enable seamless planning, execution, and optimization of clearance events across all Target stores.
• 3. Drive collaboration with business and operations teams to deliver scalable and data-driven clearance solutions.
• 4. Manage a high-performance pricing platform capable of handling millions of price changes weekly with enterprise-grade reliability.

Jun 2022 – Jun 2025 · 3 yrs

• As the Clearance Product Manager, I oversee the roadmap for our innovative embedded AI product designed to optimize clearance markdowns. My role focuses on leveraging advanced AI to help clearance business to maximize revenue while efficiently reducing inventory levels. Key accomplishments and responsibilities include:
• 1. AI-Driven Markdown Decisions at Scale: Orchestrated the implementation of an AI system capable of executing 4-5 million price changes weekly, ensuring precision and scalability.
• 2. Optimized Pricing Outcomes: Each price adjustment is derived from analyzing thousands of potential outcomes, ensuring the most effective decision is selected.
• 3. Efficiency: Managed to deliver these complex, optimized pricing decisions within a stringent timeline of approximately 3 hours, demonstrating exceptional efficiency.
• 4. User Trust and Adoption: Achieved a high level of user confidence in AI-driven decisions, with less than 10% of AI-generated markdowns being overridden by users, indicating strong trust in the system's accuracy and reliability.

Dec 2019 – Jun 2022 · 2 yrs 6 mos

• In my role as Product Manager within the retail merchandising ecosystem, I led the development and enhancement of a robust portfolio of pricing products. My efforts were dedicated to improving efficiency, accuracy, and user satisfaction. Key achievements and responsibilities include:
• 1. Enhanced Pricing Decisions: Successfully increased the percentage of in-product pricing decisions from 30% to 75%, significantly boosting operational efficiency and price accuracy.
• 2. Improved System Usability: Elevated the System Usability Score (SUS) from the low 60s to the high 70s, with a peak score of 84, reflecting strong customer satisfaction and product adoption.
• 3. Feedback Loop Integration: Implemented comprehensive feedback loops across all workflows, ensuring timely identification and resolution of issues. Collaborated with partner products to integrate and address shared feedback, fostering a cohesive ecosystem.
• 4. Customer-Centric Enhancements: Continuously gathered and acted on customer feedback to refine product features, ensuring the solutions meet and exceed user expectations.

Sep 2018 – Nov 2019 · 1 yr 2 mos

• As a Software Engineer on the Clearance Platform engineering team, I played a dual role in both technical development and project management. Key responsibilities and achievements include:
• 1. Backend Development: Developed and optimized meaningful services and APIs for backend applications using Spring Boot, Kafka, Docker, and Postgres, ensuring robust and scalable solutions.
• 2. Frontend Integration: Collaborated on frontend development using React and AngularJS, ensuring seamless integration with backend services and enhancing user experience.
• 3. Agile Project Management: Took on the added responsibility of running Scrum meetings, facilitating sprint planning, stand-ups, and retrospectives to ensure efficient project progress and team collaboration.
• 4. Product Management: Engaged in product management-related activities, including requirement gathering, prioritization, and roadmap planning, aligning technical efforts with business goals.

Aug 2016 – Sep 2018 · 2 yrs 1 mo

• As the Data Analsyt for the WFM team in Bangalore, I oversaw the development and implementation of advanced data solutions, driving business performance insights and technological upgrades. Key responsibilities and achievements include:
• 1. Scalable Data Solutions: Designed and implemented scalable data solutions for partners and service center leaders, utilizing Tableau and Domo to create comprehensive reports that provide critical snapshots of business performance.
• 2. Technology Stack Migration: Led the migration and upgrading of our technology stack, transforming ETL processes from traditional SSAS and SAS jobs to more efficient and scalable Java APIs. Transitioned legacy database solutions to open-source platforms like PostgreSQL, enhancing system performance and flexibility.
• 3. Real-Time Reporting Integration: Modernized outdated MFT systems by integrating with Kafka, facilitating real-time data updates and reporting. This integration significantly improved data processing speed and accuracy.
• 4. Business Intelligence Tools: Developed robust BI tools and self-service reporting portals using Java and AngularJS, empowering stakeholders with easy access to vital business metrics and insights.