Dhruv Rajpoot

Product Manager

Delhi, India7 yrs 2 mos experience

Highly Stable

Key Highlights

+14pp activation lift through A/B testing on 10K+ users.
22% reduction in customer acquisition costs via segmentation models.
74% precision churn model for early risk detection.

Stackforce AI infers this person is a SaaS Product Analyst with strong data-driven decision-making capabilities.

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Skills

Core Skills

Product AnalyticsData AnalysisBusiness AnalyticsChurn PredictionLegal Analysis

Other Skills

Microsoft Power BIA/B TestingSQLPower BIData AnalyticsPython (Programming Language)PythonLegal Contract ReviewLegal ComplianceData VisualizationBig Data AnalyticsData EngineeringHiveWorkflow AutomationWorkflow Management

About

Product Analyst with 2+ years in SaaS driving activation, retention, and revenue through experimentation and data systems. Impact: • +14pp activation lift (A/B test, 10K+ users) • 22% CAC reduction (segmentation + attribution) • 74% precision churn model (30-day early risk detection) • 32+ hours/month reporting eliminated (automation) Operate across the full loop: funnel diagnosis, cohort analysis, experiment design, and production deployment. Owned KPI systems used as single source of truth, reduced reporting latency from days to same-day, and translated data into product fixes and budget allocation decisions. Background: 5 years at Delhi High Court applying evidence-based reasoning under high-stakes constraints. DPO certified; operates in GDPR-constrained environments. Stack: SQL (CTEs, window functions) · Python (pandas, scikit-learn) · Power BI · Tableau · A/B Testing · ETL Open to: Product Analyst · Growth Analyst · Business Intelligence roles (SaaS / Fintech) • dhruv.rajpoot@outlook.com • mr-dhruvrajpoot.github.io

Experience

7 yrs 2 mos

Total Experience

2 yrs 4 mos

Average Tenure

Current Experience

Silentfloor technologies private limited

Product Analyst (Growth & Retention Focus)

Dec 2024 – Jan 2026 · 1 yr 1 mo · Delhi, India · Remote

+14pp activation lift, mapped to revenue — diagnosed 68% onboarding drop-off and shipped fix via A/B test on 10K+ users
Owned KPI architecture for product org — built 15-metric SQL + Power BI system; reduced reporting latency from 3 days to same-day
Reduced customer success interventions by 30% — identified behavioral friction and drove fixes to production within one sprint
Eliminated 4.5 hrs/week — automated reporting via Python pipeline, increasing experimentation bandwidth

Microsoft Power BIProduct AnalyticsData Analysis

Gc4 tech international

Product Analyst

Feb 2024 – Nov 2024 · 9 mos · Delhi, India · Remote

Reduced CAC by 22% — built segmentation and attribution models that redirected spend to highest-yield channels
Unified 4 departments under one data system — replaced fragmented reporting with centralized dashboards
Saved 8 hrs/week (70% reduction) — automated reporting workflows in Python
Influenced quarterly budget allocation — translated performance data into spend decisions

SQLMicrosoft Power BIProduct AnalyticsData Analysis

Dataiku

Data Analyst — Contract Engagement

Jan 2023 – Jan 2024 · 1 yr · Delhi, India · Remote

Built churn model with 74% precision (ROC-AUC 0.78) — identified top 18% high-risk users 30 days early
Reduced data preparation by 20 hrs/week — built ETL pipelines consolidating multi-source data
Replaced manual reporting — dashboards reduced time-to-insight from days to same-session

Python (Programming Language)Microsoft Power BIData AnalysisChurn Prediction

High court of delhi

Litigation Attorney

Sep 2017 – Jan 2023 · 5 yrs 4 mos · New Delhi, Delhi, India · Hybrid

Conducted forensic evidence analysis across 100+ cases—translating incomplete, ambiguous data into defensible conclusions
Built case strategies from incomplete datasets under high-stakes constraints, now applied to product and growth decisions
Applied GDPR in legal contexts, enabling strong data governance alignment in analytics environments

Legal Contract ReviewLegal ComplianceLegal Analysis