Amit Ranjan

I am a Product Consultant specializing in data and analytics, driven by a diligent and accountable approach to transforming complex challenges into clear, actionable strategies. My ambition and curiosity fuel a pragmatic, logical pursuit of innovative solutions, always valuing collaborative efforts to deliver measurable impact.

Experience

Product Consultant (Data & Analytics Focus)

Acoustic · Oct 2024 – Present

Not yet confirmed

• Identified a lack of unified visibility into activation and campaign health; built SQL-based KPI dashboards tracking activation, retention, time-to-value, and campaign performance across 50K+ user interactions for enterprise B2B marketing clients.
• Analysed user behaviour through funnel analysis (SQL, Mixpanel) to identify onboarding drop-off points, improving conversion efficiency by 15%.
• Designed and implemented A/B testing frameworks and success metrics for campaign-readiness initiatives, improving operational efficiency by 25%.
• Identified root causes of integration drop-off using cohort tracking and data validation; partnered with Data Scientists to reduce data issues by 30%.
• Performed multi-step funnel analysis to identify onboarding bottlenecks, improving onboarding completion by 20%. insights informed product decisions that drove 25% user growth in 6 months.

Product Consultant

Acoustic · Oct 2024 – Mar 2026

Not yet confirmed

• • Led end-to-end AI product lifecycle for a Martech platform, delivering LLM-powered features that improved campaign execution readiness by 25%
• • Defined product OKRs and AI success metrics; collaborated with Data Science to integrate ML model outputs into analytics workflows
• • Increased AI feature adoption by 18% and reduced time-to-value by 20% through onboarding and recommendation flow optimization
• • Designed AI-safe data migration frameworks ensuring 99% data accuracy and reducing onboarding issues by 30%
• • Reduced implementation rework by 15% by introducing structured PRD reviews with ML-specific acceptance criteria and feature flag definitions

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Product Analyst

Solera · Jun 2022 – Sep 2024

Not yet confirmed

• Identified inconsistent customer segmentation across retail categories; developed SQL/Python-based segmentation models to surface high-value customer patterns, enabling targeted sales actions that lifted sales 15% and cut reporting turnaround by 30%.
• Built KPI frameworks for fleet management deployments, improving sprint predictability by 25% and on-time delivery to 90%; fleet utilization analysis also supported Al-driven route optimization initiatives.
• Designed automated SQL data-validation checks across multiple source systems, reducing data discrepancies by 20% and improving stakeholder trust in reporting and delivered insight based on performance.
• Delivered executive-level reporting on acquisition and retention trends, informing quarterly product roadmap prioritization.

Product Owner

Solera Holdings, LLC. · Jun 2022 – Sep 2024

Not yet confirmed

• • Served as Product Owner for AI-driven applications, improving sprint predictability by 25% and delivering 90% of planned features on time
• • Defined roadmap for AI-powered fleet optimization system, reducing trip time by 20% and improving operational efficiency
• • Authored AI-specific PRDs with model-based acceptance criteria, reducing rework by 30% and improving release velocity by 15%

Business Analyst

LocoNav · Aug 2021 – Jun 2022

Not yet confirmed

• Analysed user behaviour using SQL and Python to inform UX decisions, increasing engagement by 25% and task completion by 20%.
• Conducted cohort analysis and segmentation to detect churn patterns, supporting A/B tests that drove a 20% increase in sales.
• Applied SQL-based segmentation to isolate key churn drivers; partnered with Product to reduce churn by 10% and accelerate decision turnaround by 40%.

Data Analyst

IndiaMART InterMESH Limited · Aug 2017 – Sep 2018

Not yet confirmed

• Analyzed customer engagement data using SQL, identifying trends that informed lead-scoring and conversion strategies
• • Automated recurring MIS reports, reducing manual reporting time by 20% across teams

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Data Analyst

IndiaMART · Aug 2017 – Aug 2018

Not yet confirmed

• Built SQL dashboards tracking acquisition, revenue, and engagement KPIs for a large-scale B2B marketplace.
• Improved marketplace conversion rate by 25% through customer segmentation; A/B experiments increased feature engagement by 15%, with automated reporting workflows supporting ongoing decisions.