---
title: "Rahul Balaraddi - Growth & Marketing Analytics Lead in Greater Bengaluru Area | Tal"
description: "Meet Rahul Balaraddi, Lead / Principal Analytics Leader | Experimentation, Growth & Monetization | Attribution & Causal Modeling | SQL • Python based in Greater Bengaluru Area. AI stack includes claude code and claude."
image: "https://tal.club/meet/rahul-balaraddi/share-image"
---

# Rahul Balaraddi on Tal

## 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

[View the original profile](https://tal.club/meet/rahul-balaraddi)

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