Headline

Lead / Principal Analytics Leader | Experimentation, Growth & Monetization | Attribution & Causal Modeling | SQL • Python

About

Strategic analytics leader with 9+ years driving product and revenue impact across gaming, martech, and consumer platforms. I currently lead the Growth & Marketing Analytics function at Skillz, where I own team strategy, process standardization, and stakeholder alignment across UA, Product, and Live Ops, partnering closely with C-suite leadership on roadmap and investment decisions. I work at the intersection of product, growth, and analytics: framing ambiguous problems, designing the experiments and models to test them, and driving the rollout that actually moves revenue. Recent highlights from my time at Skillz: Rebuilt a broken UA attribution model that was misreporting install sources across ~750 games, lifting D360 ROAS from ~45% to ~90% and unlocking a 50% increase in daily UA spend Built and deployed a predictive ROAS model (3-5% variance from actuals) used to set precise break-even targets for UA campaign decisions Led incentive and reactivation experimentation that added roughly $1M+/month in net revenue across UA and Live Ops combined Rebuilt how our analytics team plans and executes, moving to a Gantt/Jira-tracked roadmap with ~85% on-time delivery, while mentoring analysts on experimentation rigor Earlier at Zynga, I did similar work on Farmville-scale live games: audited game economy to recover ~$1.8M/year in monetization leakage, improved D30 LTV by ~30% through early-experience optimization, and built experiment-auditing tools still used across the studio's older titles. My focus areas: experimentation and A/B testing, causal and attribution modeling, monetization and revenue optimization, growth funnel and lifecycle strategy, and the statistical and ML tooling that helps analytics scale beyond one person. I care most about the intersection of experimentation, revenue strategy, and product growth, whether that's as an IC going deep on a hard problem or leading a team through one. Always happy to connect with people working on similar problems. Let’s connect and build smarter experiences through data!

Location

Greater Bengaluru Area

AI stack

claude code

claude

Work experience

Growth & Marketing Analytics Lead at Skillz, Mar 2026 - Present · 8 mos, Hybrid, Leading the Growth & Marketing Analytics function at Skillz: owning team strategy, process standardization, and stakeholder alignment across UA, Product, and Live Ops, and partnering directly with C-suite leadership on roadmap and investment decisions across a ~$1M+/month revenue scope. Team & Process Leadership Rebuilt how the analytics team plans and executes, moving to a Gantt/Jira-tracked roadmap with clear ownership and escalation paths, achieving ~85% on-time delivery Positioned the team as a proactive execution partner to UA and Product rather than a reactive support function Mentor analysts on experimentation rigor and craft, and lead projects that influence strategy across multiple business units

Senior Data Analyst at Skillz, Mar 2024 - Feb 2026 · 2 yrs, On-site, Driving growth and re-engagement through scalable analytics solutions in player Matchmaking, performance marketing, incentives, and player lifecycle optimisation Incentive Strategy & Optimisation - Led experimentation and scaled deployment of optimised incentive offers across key user segments - Increased deposit engagement ↑X%, improved ROI by ↓Y% in bonus utilisation, and contributed to a $XM+ lift in net revenue - Built a repeatable framework enabling faster testing and decision-making across the Live Ops pipeline Lifecycle & Reactivation Campaigns - Developed and automated a reactivation strategy targeting lapsed players via personalized offers and event-driven messaging - Drove ZK+ reactivations, ↑A% deposit uplift, and contributed over $XM in net gaming revenue, with significantly reduced manual operations - Introduced targeting logic and cohort design now used across lifecycle campaigns Matchmaking Optimisation - Took end-to-end ownership of matchmaking refinement—partnered with external vendors, wrote PRDs, and led internal knowledge sharing - Proposed and implemented changes to player matching logic, contributing to ↑ win rates and improved retention metrics - Delivered detailed documentation and strategy roadmaps to scale improvements post-pilot Leadership & Culture - Mentored junior analysts, provided structured feedback, and enhanced team effectiveness through new tool adoption - Introduced operational improvements (e.g., internal AI tools, monitoring workflows) that reduced analysis turnaround and improved velocity - Recognised for ownership and impact orientation, with projects influencing strategy across multiple business units Tools & Skills SQL | Python | Snowflake | Tableau | Experiment Design and Readouts | PRD Writing | LiveOps Optimization | Stakeholder Communication

Data Analyst 3 (Lead Data Analyst) at Zynga, Nov 2023 - Mar 2024 · 5 mos, Bengaluru, Karnataka, India, Responsible for enabling Product Managers and Designers with data-backed insights to enhance the player experience of Farmville games, casual social game‬ Game KPIs | Economy Audits | Roadmap Insights - Conducted an in-depth KPI audit of a 10-year-old game, identifying the golden cohort (~18% of players) contributing to ~80% of revenue, informing product roadmap planning - Audited the game economy, corrected anomalies, and plugged monetisation leaks, driving sustainable revenue growth - Partnered with design and economy teams to improve early-game experience through levelling, feature unlocks, and monetisation nudges—leading to a ~30% uplift in D30 LTV

Data Analyst 2 (Senior Data Analyst) at Zynga, Jun 2021 - Oct 2023 · 2 yrs 5 mos, Hybrid, Responsible for enabling Product Managers and Designers with data-backed insights to enhance the player experience of Farmville games, casual social game‬ Game Analytics | Experimentation Strategy | Monetization Optimization Player Segmentation & Personalization - Built behavioral segmentation models to tune features like Battle Pass, resulting in a 15% ARPDAU increase (~$200K/month) Feature Performance & Economy Tuning - Partnered with PMs and designers to optimize core systems (e.g., Starter Pack, DLB system, subscriptions, gacha mechanics, UA funnels) - Tightened premium currency inflow by fixing bugs and addressing MOD APK usage—boosting annual revenue by ~$1.8M A/B Testing Strategy & Tooling - Served as SME for Zynga's experimentation org; led cross-org sessions and designed standardization practices - Developed an Experiment Auditor Tool to bulk-assess experiment performance, enabling smarter prioritization—targeting 20% revenue uplift and ~50% cost reduction Live-Ops Dashboards & Analytics Infrastructure - Created performance dashboards for User Acquisition, live-ops, and feature releases—helping pre-empt funnel issues - Established self-serve data infra, cutting analytical query effort by ~80%

Apprentice Leader at Mu Sigma Inc., Jan 2021 - May 2021 · 5 mos, Bengaluru, Karnataka, India, Led client-facing analytics initiatives across food safety and operations, combining predictive modelling with domain collaboration to deploy scalable solutions Risk Scoring System | Food Safety Inspections - Led a team of 3 in collaboration with Food Safety R&D experts to enhance a predictive framework for identifying establishments at risk of failing health inspections. - The solution was successfully deployed across 1000+ customer locations in the US, enabling preemptive interventions and improving public health outcomes. Recognition & Leadership - Trained peers in SQL, Power BI, and analytics frameworks as a certified internal trainer. - Served as a Problem Solving Journey Mentor at Mu Sigma University. - Received Spot Awards for delivery excellence and stakeholder impact.

Decision Scientist at Mu Sigma Inc., Jan 2020 - Dec 2020 · 1 yr, Greater Bengaluru Area, Owned predictive modelling and cloud analytics projects spanning industrial IoT and healthcare supply chains Predictive Maintenance | Industrial Machinery - Led a 2-member team to build a time-series model estimating Remaining Useful Life (RUL) for RO membranes, reducing downtime and costly repairs. - Improved asset lifespan by 50%, saving ~$5M over 6 years for a global water hygiene provider. Supply Chain & Manufacturing Optimization | Healthcare - Partnered with the Advanced Analytics team to design and migrate on-premise Hadoop infrastructure to Azure Cloud, creating a scalable, fault-resilient, and cost-efficient analytics system. - Developed models to optimize nutrient formulation in food manufacturing units, ensuring compliance with regulatory standards while boosting production throughput which led to $2 Million savings per year

Trainee Decision Scientist at Mu Sigma Inc., Jul 2017 - Dec 2019 · 2 yrs 6 mos, Bengaluru, Karnataka, India, Focused on foundational analytics implementations across cloud migration, business reporting, and customer segmentation. Cloud Data Infrastructure & BI Modernization : - Supported the migration of on-prem data infrastructure to Azure Cloud for a major tech client. Reduced ETL runtime by ~70% and enabled real-time reporting. - Unified decentralized reports and delivered Power BI dashboards for account managers and quality teams.

Education

Bachelor of Engineering - BE, Information Science/Studies, Dayananda Sagar College of Engineering, BANGALORE