Pranav Ingale — Operations Associate

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 metrics I 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 Operations Beyond 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

Stackforce AI infers this person is a SaaS-focused analytics leader with expertise in data-driven decision-making.

Location: Pune, Maharashtra, India

Experience: 6 yrs 10 mos