Headline

Associate Product Manager | Product Analytics | Product Operations | Building AI-Enabled Products & Scalable Solutions

About

I enjoy solving customer and operational problems through a combination of data, technology, and cross-functional execution. Across Amazon and Walmart-focused programs, I have worked closely with business, operations, and leadership teams to uncover inefficiencies, improve decision-making, and build scalable solutions that enhance both user and operational experiences. At Amazon, I contributed to Alexa's Natural Language Understanding ecosystem by analyzing customer interaction patterns, identifying language-understanding issues, and supporting improvements that enhanced the end-user experience. At Coforge, I worked on Walmart's catalog management ecosystem, supporting Sparky, Walmart's generative AI shopping assistant. I helped improve catalog data quality, workflow efficiency, and operational scalability through automation, analytics, and process optimization initiatives impacting hundreds of users. I'm particularly interested in Product Management, Product Analytics, Product Operations, AI-enabled products, and using technology to solve real-world business problems at scale. Areas of Focus: • Product Management • Product Analytics • Product Operations • AI & Generative AI • Workflow Automation • Business Intelligence • Stakeholder Management • Process Optimization

Location

Bengaluru

AI stack

claude code

codex

gemini

grok

lovable

githubcopilot

Work experience

Career transition at Career Break, Apr 2026 - Present · 6 mos, ● Developing product case studies focused on user experience, growth, retention, and product strategy. ● Conducting product teardowns and competitive analysis across consumer and AI-powered products. ● Building expertise in Product Management, Product Analytics, Product Operations, and AI-enabled product ecosystems. ● Exploring opportunities in Associate Product Manager, Product Analyst, and Product Operations roles.

Business Intelligence Analyst at Coforge, May 2025 - Mar 2026 · 11 mos, Chennai, ● Improved the quality and structure of upstream catalog data supporting Sparky, Walmart's generative AI shopping assistant, enabling more accurate product discovery experiences and reducing catalog-processing exceptions. ● Identified workflow inefficiencies caused by spreadsheet-driven operations and partnered with stakeholders to drive rollout and adoption of an internal workflow management solution, standardizing processes for 500+ employees. ● Defined and implemented automation solutions for critical reporting and quality-control workflows, processing 40,000+ records, reducing manual effort by 60%, and saving operational teams 20+ hours per week. ● Addressed resource-allocation challenges by developing an automated distribution framework capable of assigning 10,000+ inventory items without duplication, improving scalability, consistency, and execution efficiency. ● Established KPI frameworks and workforce analytics solutions for 10+ teams, enabling leadership to proactively monitor productivity, attendance, shrinkage, and operational risks through real-time insights. ● Aligned Operations, Workforce Management (WFM), and leadership stakeholders by translating operational challenges into data-driven recommendations that informed workforce planning and process improvement initiatives.

Caregiving at Career Break, Oct 2023 - Apr 2025 · 1 yr 7 mos, I took a career break to support my family during a tough time. My father, who started a business after retiring from government service, fell seriously ill. Being the only son, I took on the responsibility of caring for him and managing the business to ensure everything stayed on track. It was a challenging period, but it taught me a lot about resilience, managing responsibilities, and staying calm under pressure. Now that things are back to normal, I’m ready to dive back into my career and apply everything I’ve learned during this time to new opportunities.

Career transition at Career Break, May 2023 - Dec 2023 · 8 mos, ● Pursued Post Graduate Program in Data Science & Business Analytics from Texas McCombs School of Business / Great Lakes Institute of Management. ● Built expertise in data analytics, machine learning, business problem-solving, and data-driven decision-making through hands-on projects and coursework. ● Strengthened skills in SQL, Python, statistics, business intelligence, and predictive analytics to support a transition into analytics and technology-focused roles.

Data Associate at Amazon, Oct 2020 - May 2023 · 2 yrs 8 mos, Chennai, ● Analyzed large-scale customer interaction datasets for Alexa NLU systems, identifying language and intent-recognition issues that contributed to a 20% reduction in average processing wait times. ● Conducted exploratory analysis on conversational datasets to uncover intent-classification patterns and quality gaps, contributing to a 12% improvement in model accuracy and voice-recognition performance. ● Performed root-cause analysis on customer experience failures and language-understanding errors, translating user friction into actionable insights for engineering and operational teams. ● Synthesized and presented conversational and attribute-level user insights to cross-functional stakeholders, enabling data-driven improvements across Alexa's language-understanding workflows.

Education

Bachelor of Engineering - BE, Electrical and Electronics Engineering, SSM INSTITUTE OF ENGINEERING AND TECHNOLOGY, DINDIGUL

PGP (Data Science & Business Analytics), Data Science and Business Analytics, Texas McCombs School of Business

Public links

github: https://github.com/RevanthJP