Pranav Ingale

About Pranav Ingale

Data doesn’t create impact. Product decisions do.I build the analytics systems that make those decisions measurable.I am a Senior Analytics Engineer & Product-Focused Data Leader with 7+ years of experience designing scalable data platforms and experimentation frameworks that improve user retention, operational performance, and executive decision-making.My work centers on turning behavioral data into product insights — not just reporting outputs.Over the years, I have:• Delivered $6.5M+ projected revenue protection by building RFM-based segmentation models and validating retention strategies through statistically significant A/B testing• Designed analytics systems processing 100M+ transactional records to uncover behavioral trends and decision drivers• Reduced reporting latency and manual effort by 40% through scalable ELT pipelines and CI/CD-enabled analytics deployment• Built governed semantic layers enabling product, finance, and operations teams to self-serve reliable metricsI specialize in:• Product & retention analytics• A/B testing & experimental design• Cohort analysis & behavioral segmentation• Scenario modeling & KPI impact simulation• Cloud-native analytics architecture (Fabric, Snowflake, Databricks)• Stakeholder alignment across Product, Sales, and OperationsBeyond dashboards, I focus on experimentation culture — helping teams move from opinion-based decisions to statistically validated outcomes.I work closely with cross-functional stakeholders to define success metrics, align on hypotheses, measure feature impact, and translate insights into roadmap priorities.My philosophy:Measure what matters. Test what you believe. Scale what works.If you’re building products where experimentation, retention, and data-driven iteration define success — let’s connect

Experience

1. Data Analytics Team Lead

   Accenture

   Aug 2024 — Present · Pune, IN

   Enterprise BI & Financial Intelligence Architecture: Designed and governed enterprise Power BI and Microsoft Fabric semantic models supporting 200+ users, reducing manual financial reporting effort by 40%, improving performance by 35%, and strengthening KPI governance across finance leadership.• Cloud Data Platform Modernization: Architected scalable Azure Data Factory–Snowflake–Fabric ELT frameworks across 10+ enterprise datasets, reducing data preparation time by 40% and improving refresh efficiency through automated orchestration and standardized transformation design.• AI-Driven Forecasting & Planning Optimization: Operationalized ARIMA and SAP Analytics Cloud predictive forecasting models, improving forecast accuracy by 15–20% and enabling proactive demand planning, liquidity management, and data-backed budget reallocation.• Enterprise Revenue Intelligence & Risk Mitigation: Institutionalized RFM-driven customer risk modeling and statistically validated A/B experimentation (95% confidence), delivering a 17% retention lift and safeguarding $6.5M+ in annual recurring revenue through targeted intervention strategies.• Working Capital & Liquidity Optimization: Built governed DSO/DPO models and ML-driven scenario simulations on 100M+ transactions, reducing reconciliation effort by ~30% and enabling executive-level cash flow forecasting and capital allocation decisions via interactive What-If analytics.• Executive Stakeholder Leadership & Change Enablement: Partnered with CXO and finance leadership to translate business priorities into governed analytics roadmaps, accelerating enterprise adoption and delivering measurable financial and operational outcomes.

Education

• Sant Gadge Baba Amravati University, Amravati

  Bachelor of Engineering - BE

• International Institute of Information Technology Bangalore

  Diploma in Data Science, Data Analytics