Headline

Analytics at Razorpay | Ex-Exotel, Mystifly

About

Vikash is a Product Analytics and Strategy professional with 5+ years of experience leveraging data to drive product growth, revenue optimization, and customer experience improvements across high-scale technology platforms. He specializes in product analytics, experimentation, funnel optimization, analytics engineering, and AI-enabled decision systems, with a proven track record of influencing product strategy and delivering measurable business outcomes through data-driven insights.

Location

Bangalore Urban

AI stack

codex

opencode

Work experience

Senior Analytics Specialist at Razorpay, Sep 2024 - Present · 2 yrs, Bengaluru, Karnataka, India, Leading product analytics, monetization strategy, experimentation, and data-driven decision making across high-scale UPI products powering billions of payment transactions. • Built an AI-powered self-serve analytics platform by architecting semantic data models, metadata catalogs, automated governance frameworks, and multi-agent analytics workflows, enabling stakeholders across 25+ product domains to query business insights with ~95% answer accuracy while significantly reducing analyst dependency. • Built the 0→1 analytics foundation for UPI Turbo, defining product metrics, event instrumentation architecture, funnel frameworks, and end-to-end analytics measurement systems that enabled merchant scale-up and unlocked ₹20+ Cr monthly GMV while improving onboarding success by 15% and payment success rates by 7%. • Drove strategic analytics initiatives that uncovered ₹18+ Cr in monthly revenue opportunities across the UPI Credit portfolio by identifying monetization leakages, pricing gaps, and product configuration inefficiencies, directly influencing pricing and revenue optimization strategy. • Owned analytics for multiple mission-critical platform migrations and regulatory programs, mitigating ₹1.5 Cr monthly P&L risk, safeguarding ₹7,000+ Cr monthly GMV, and achieving 98% NPCI compliance through precision merchant cohorting, large-scale migration frameworks, and real-time monitoring systems. • Designed and validated large-scale product experiments and ML-driven routing systems, including statistical evaluation of Cost-Based Routing (CBR) models across enterprise merchant cohorts, enabling data-backed rollout decisions across enterprise merchants.

Product Analyst at Mystifly, Mar 2024 - Sep 2024 · 7 mos, Hybrid, Contributed to a 6% quarterly revenue increase by developing a dynamic pricing model incorporating demand forecasting to identify pricing optimization opportunities. Increased conversion rates by ~9% on underperforming flight routes through traffic analysis, funnel diagnostics, and targeted marketplace optimizations. Partnered with Product teams to drive feature development through competitive analysis, market research, PRD creation, and requirements definition.

Technical Product Analyst at Exotel, Sep 2021 - Mar 2024 · 2 yrs 7 mos, Hybrid, Boosted call completion rates (KPI) up to 20% for key enterprise clients through product data analysis , driving substantial revenue growth. Successfully minimized churn by reducing call failure rates (KPI) to less than 5% through detailed root cause analysis of anomalies in call traffic. Reduced operational costs by optimizing call routing through cost-effective networks and ensuring 95% network efficiency through data analysis. Collaborated with the product team to enhance the accuracy of call status by 2% through in-depth analysis of user behavior and product data. Created interactive Grafana dashboards to keep internal teams well-informed about product performance and facilitate quick debugging. Automated billing and product data requests from customers and internal teams to track product usage. Conducted market research by experimenting with competitors' products to gain insights into their call status reporting.

Intern at Exotel, Mar 2021 - Aug 2021 · 6 mos, Bangalore Urban, Karnataka, India, Improved resolution times by developing a chatbot, automating data requests and operational tasks, reducing tickets by 35%.

Education

Specialized in Data Science & Machine Learning, Scaler

Bachelor of Engineering - BE, Computer Science, Anna University Chennai