Headline

Lead Advance Analytics @ Airbnb | Ex Data Science @ Atlassian, ZS, Mu Sigma, Razorpay

About

I’m currently a Lead Advanced Analyst at Airbnb with over ~9 years of experience in data analytics and data science across SaaS, retail, Finance (Commerce) and pharma domains. At Atlassian, I worked at the intersection of product, engineering, and finance—using data to drive strategic decision-making and shape company-wide initiatives. My recent work spans Revenue Analytics, cloud migration analytics, conversion funnel analysis, and executive dashboarding, where I collaborate cross-functionally to deliver clear, actionable insights. My core strengths lie in product and business data science, stakeholder alignment, and building scalable data solutions using SQL, Python, and Tableau. I operate with high ownership, often driving projects end-to-end and influencing direction within cross-functional teams. Previously, I’ve worked with ZS Associates, Lenskart, and Mu Sigma, leading projects in marketing analytics, customer data platforms, and retail optimization. Across roles, I’ve consistently combined technical depth with business understanding to deliver measurable impact.

Location

Bengaluru

AI stack

claude code

claude

codex

gemini

langchain

notebooklm

Work experience

Lead - Advanced Analyics at Airbnb, May 2026 - Present · 5 mos, Bengaluru

Lead Analytics Specialist at Razorpay, Jan 2026 - May 2026 · 5 mos, Bengaluru

Data Scientist at Atlassian, Dec 2022 - Dec 2025 · 3 yrs 1 mo, Bengaluru, * Co-leading the Commerce Data Science team responsible for billing analytics, collaborating with cross-functional partners to embed data-driven insights into strategic planning and build Tableau dashboards monitoring critical company metrics • Spearheaded the end-to-end cloud migration of subscription and billing data infrastructure, ensuring seamless business continuity while successfully transitioning nearly $200M in active subscriptions within 18 months • Identified and mitigated critical revenue leakages through deep-dive data analysis, leading to an estimated $4M in recovered revenue and improved billing accuracy • Analyzed conversion and retention funnels to uncover key drop-off drivers; insights directly informed the product roadmap and contributed to a 2% increase in paid user retention • Designed and executed A/B experiments to optimize billing and user experience flows, achieving statistically significant gains in FFPs

Associate Consultant at ZS, Mar 2021 - Dec 2022 · 1 yr 10 mos, Gurugram, Haryana, India, • Worked on a marketing resource optimization project to perform Key Driver Analysis on the database created using SQL to understand the impact promotional execution has on sales and the ROI to inform future investment decisions • Helped the client save ~$1M by measuring the impact of promotional channels and provide recommendations for continuation/discontinuation of those • Identified the commercial team roles that would be required for promoting an upcoming drug, and helped the client save ~ $1M by calculating the effective salesforce size required • Helped the client in maintaining a headcount neutral scenario and simultaneously reduce the dollar impact on the existing drug with the introduction of the new one

Business Analyst at Lenskart.com, Dec 2020 - Mar 2021 · 4 mos

Education

Bachelor of Engineering - BE, Electronics and Communications Engineering, Thapar Institute of Engineering & Technology