Vinay Kumar Gudooru

Product Manager

Mumbai, Maharashtra, India5 yrs 1 mo experience
Highly StableAI Enabled

Key Highlights

  • Expert in product experimentation and A/B testing.
  • Built scalable analytics frameworks for cross-functional teams.
  • Developed predictive models achieving 90% accuracy.
Stackforce AI infers this person is a Product Analyst specializing in data-driven strategies for media and e-commerce industries.

Contact

Skills

Core Skills

Product AnalyticsData VisualizationData ForecastingData StrategyContent OperationsData Management

Other Skills

AI chatbotsAPI ManagementAcquisition IntegrationAgile EnvironmentAgile MethodologiesAgile Project ManagementAmazon Web Services (AWS)Analytical SkillsAnalyticsApache SparkArtificial Intelligence (AI)Azure Data FactoryAzure DatabricksBig DataBigQuery

About

I am a Senior Product Analyst with 5+ years of experience driving data-informed product strategy across OTT and short video platforms. I specialize in product experimentation, user behavior analysis, and building scalable analytics frameworks that empower cross-functional teams to make faster, smarter decisions. With a foundation in data analytics, stakeholder collaboration, and business intelligence, I have worked alongside product, marketing, and sales teams to optimize campaign performance, improve feature adoption, and maximize user engagement. My experience includes: ✅ Product Experimentation & A/B Testing – Designed and analyzed experiments to evaluate feature performance, leading to data-backed decisions and improved retention, engagement, and monetization. ✅ Stakeholder-Driven Analytics – Translated business needs into actionable insights, prioritizing product features and marketing strategies that reduced decision cycles by 25%. ✅ Self-Serve Dashboarding & KPIs – Built interactive dashboards in Power BI and Looker to visualize campaign impact, funnel drop-offs, and user trends, reducing data dependency across teams. ✅ Campaign & UGC Forecasting – Developed predictive models using Python and SQL to forecast UGC volume and viewership with 90% accuracy, enabling brand partnerships to plan confidently. ✅ CRM & Funnel Analytics – Partnered with CRM and marketing to categorize user issues and optimize lead flows, improving customer response time and campaign effectiveness. ✅ Content Performance Analytics – Analyzed watch time, completion rates, and viewer segmentation across 400K+ OTT assets, informing programming and monetization strategy. I thrive at the intersection of product, data, and business strategy—where experimentation meets impact. Passionate about translating user behavior into growth-focused decisions, I’m always excited to contribute to fast-moving, insight-driven teams shaping digital experiences at scale. 📩 Let’s connect and talk about product analytics, experimentation, and data-led strategy!

Experience

5 yrs 1 mo
Total Experience
1 yr 11 mos
Average Tenure
1 yr 3 mos
Current Experience

Ipserlab

Product Analyst

Jan 2025Present · 1 yr 3 mos · San Francisco Bay Area · Remote

  • Designed AI chatbots for e-commerce clients that automated routine customer service tasks, reducing agent workload by 40% and saving the client approximately $150K in operational costs while maintaining high customer satisfaction.
  • Built and maintained a Power BI dashboard using BigQuery data, visualizing key marketing and sales KPIs to support performance tracking and conversion analysis.
  • Collaborated with data engineering team to design ETL workflows, integrating data from multiple CRMs (Salesforce, HubSpot) and enabling a unified customer profile that reduced CRM processing time by 30%.
  • Worked with marketing and sales teams to ensure real-time lead visibility, automating lead status updates and improving campaign responsiveness and team efficiency by 50%.
AI chatbotsPower BIBigQueryETL workflowsCRM integrationProduct Analytics+1

Sharechat

Senior Product Analyst

Mar 2022Aug 2022 · 5 mos · Bengaluru, Karnataka, India · On-site

  • Developed an automated reporting job to deliver key metrics via email, tailored to team-specific requirements, and improving data accessibility across business and marketing teams.
  • Built predictive models using Python to forecast campaign performance with 90% accuracy, enabling sales to plan and negotiate campaigns based on projected reach.
  • Collaborated with product managers to define internal success metrics, analyze team usage patterns, enabling 25% faster decisions, reduced backlog noise, and a clearer product roadmap.
Pythonautomated reportingpredictive modelsProduct AnalyticsData Forecasting

Amazon mx player

3 roles

Senior Product Analyst

Promoted

Aug 2020Feb 2022 · 1 yr 6 mos · On-site

  • Built self-serve dashboards and product analytics frameworks to empower cross-functional teams with real-time insights, reducing turnaround time by 90%.
  • Led cross-functional data initiatives to optimize content discovery and viewer engagement, leveraging user segmentation, retention analysis, and funnel metrics to drive a 15% increase in watch time across key genres.
  • Led post-launch analysis of content releases, tracking engagement and conversion metrics to help marketing and sales optimize campaigns and align with revenue goals.
  • Analyzed pricing and churn across TVOD plans and coupon-based offers redeemed via MX coins, leading to a redesigned strategy and a 30% increase in purchases.
  • Optimized content promo placements via CTR and engagement analysis, boosting marketing campaign performance by 22%.
self-serve dashboardscross-functional data initiativesuser segmentationProduct AnalyticsData Strategy

Operations Analyst

Feb 2019Aug 2020 · 1 yr 6 mos · On-site

  • Managed a global inventory of 400K+ assets via CMS, ensuring 98% data accuracy and timely updates aligned with content rights.
  • Standardized metadata for 100K+ content pieces, building a scalable architecture with 95% accuracy to support OTT content analytics.
  • Conducted EDA on engagement and performance, creating Power BI dashboards that surfaced KPIs and optimized content strategy.
  • Partnered with the CRM team to categorize support tickets and build a dashboard, providing a clear overview of issue trends and enabling 40 % faster tracking and resolutions.
CMS managementmetadata standardizationPower BI dashboardsContent OperationsData Management

Content Operations Intern

Aug 2018Jan 2019 · 5 mos · On-site

  • Independently managed end-to-end operations for 5000+ content pieces, optimizing content curation techniques and increasing engagement for the movies section by 200%.
  • Gathered content insights and viewer consumption patterns to ideate new content curation techniques, improving the overall user experience.

Education

Northeastern University

Master of Science - MS

Sep 2022Dec 2024

University of Mumbai

Bachelor of Engineering — Electronics and Telecommunications Engineering

Jan 2014Jan 2018

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