Manu Vinay

Associate Consultant

Bangalore Rural, Karnataka, India4 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in fraud detection and mitigation strategies.
Proven track record in driving data-driven decision-making.
Skilled in building complex analytics frameworks.

Stackforce AI infers this person is a Fintech Analytics Specialist with expertise in data-driven decision-making and fraud detection.

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Skills

Core Skills

Fraud DetectionAnalyticsBusiness AnalysisBusiness Intelligence (bi)

Other Skills

TableauSupply Chain ManagementSQLData AnalysisAutomationAIMicrosoft ExcelStatistical Data AnalysisData VisualizationPresentation SkillsOral CommunicationRoot Cause AnalysisCross-functional CollaborationsCalculusKey Performance Indicators

About

Analytics Specialist with 5+ years of experience across fintech, SaaS, and marketing analytics, currently at Razorpay, where I work across Payments, Loyalty, and Gift Cards domains. My work spans the full analytics lifecycle: fraud detection, funnel analysis, root cause analysis with financial quantification, KPI tracking, dashboard development, and stakeholder enablement through self-serve reporting. I've owned critical analytics end-to-end, from writing complex, production-grade SQL and building Tableau dashboards to identifying platform-level infrastructure bugs and driving Engineering fixes into production.

Experience

4 yrs 6 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 10 mos

Current Experience

Razorpay

Analytics Specialist

Aug 2024 – Present · 1 yr 10 mos · Bengaluru · Hybrid

➤ Reduced fraudulent transaction exposure on a major payment campaign by building a behavioural cohort detection model that flagged ~26L in at-risk volume, directly informing platform-level fraud mitigation policy adopted across the Payments business unit.
➤ Increased conversion visibility for a loyalty platform generating ~3Cr in annual revenue by designing and deploying an end-to-end funnel analytics and engagement measurement system, enabling the first data-driven iteration cycle for the product team.
➤ Prevented ongoing financial misreporting across 10+ product lines by identifying, documenting, and driving to production a fix for a critical analytics infrastructure bug that was silently inflating key business metrics, verified across 1,400+ transactions and 68.5% of affected accounts.
➤ Recovered an estimated multi-day engineering effort into a single-day resolution by applying LLM-based automation to bulk-correct all broken production reporting queries following a platform-wide data engineering migration.
➤ Accelerated self-serve analytics adoption across a business unit by architecting a full AI-powered analytics framework (data context, curated query library, prompt engineering guide) that was subsequently adopted as the foundation for the organisation's next-generation analytics tool.

TableauSupply Chain ManagementFraud DetectionAnalytics

Indium software

Business Analyst

Jun 2023 – Aug 2024 · 1 yr 2 mos · Hyderabad

➤ Drove a 10% increase in third-party ad revenue by designing a 4-segment user cohort model based on order frequency, which surfaced high-value restaurant partner performance gaps and directly informed the ad targeting strategy.
➤ Identified a 7.5% revenue expansion opportunity by conducting a structured competitive KPI analysis across top brands within cuisine categories, producing actionable benchmarks that guided business development decisions.
➤ Reduced pipeline monitoring overhead by 50% and recovered 1 engineer-day per week by building an automated dashboard that centralised visibility across all active data pipelines for the global ads function.

Microsoft ExcelStatistical Data AnalysisBusiness Analysis

Affine

Associate Business Analyst

Jun 2022 – Jun 2023 · 1 yr · Bengaluru

➤ Delivered daily business intelligence at scale by processing and analysing 3M+ rows of marketing campaign data per day using Cosmos DB and SQL, with outputs powering executive-facing KPI reports on churn, MAU, and trial-to-paid conversion.
➤ Served as the primary data point-of-contact for relationship managers across the organisation by owning end-to-end ad-hoc analysis workflows (~4 requests/week), enabling faster and more informed commercial decisions across cross-functional stakeholders.

Microsoft ExcelPresentation SkillsBusiness Intelligence (BI)