Shivang Bhatt
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Projects

GTM analytics, customer targeting, uplift modeling & growth experimentation

๐ŸŽฏ Targeting & Growth

Up-Sell Ad Campaign for Intuit QuickBooks

UCSD ยท Customer Analytics ยท Dec 2025

Built an ML model on clickstream data of 1M users to identify causal relationships between product features and customer engagement. Used uplift modeling to inform a second-wave targeting campaign.

$380K Profit generated from targeted second-wave campaign
Uplift ModelingCausal InferencePythonClickstreamCampaign Optimization

Predicting Churn & Design of Experiments

UCSD ยท Customer Analytics

Developed churn prediction models and designed experiments to test retention strategies. Applied A/B testing frameworks to measure the effectiveness of intervention tactics on at-risk customer segments.

๐Ÿ”ฌ Experimental design to validate retention strategies before full rollout
Churn PredictionA/B TestingExperiment DesignPythonRetention

Personalization for Pentathlon

UCSD ยท Customer Analytics

Built personalized recommendation and targeting models to optimize customer engagement across multiple touchpoints. Leveraged customer segmentation to tailor messaging and offers for different user cohorts.

๐ŸŽฏ Multi-channel personalization across customer lifecycle
PersonalizationSegmentationRecommendation SystemsPython
๐Ÿ“Š Measurement & Attribution

Measuring Uplift for Creative Gaming

UCSD ยท Customer Analytics

Applied uplift modeling techniques to measure the incremental impact of creative ad variations on player acquisition and engagement in a gaming context. Quantified which creative elements drove true lift vs. organic conversion.

๐Ÿ“ˆ Isolated true creative impact from organic conversion
Uplift ModelingIncrementalityCreative TestingPython

Market Sentiment & Brand Perception Analysis

UCSD ยท Jan 2026

Analyzed Twitter and digital news sentiment to evaluate shifts in brand perception. Discovered that trend-driven brands experienced faster and stronger short-term sentiment changes compared to established brands โ€” key insight for brand marketing teams.

๐Ÿ” Quantified sentiment velocity differences between brand archetypes
NLPSentiment AnalysisBrand AnalyticsTwitter APIPython
๐Ÿ’ผ Professional โ€” GTM & Revenue Ops

GTM Revenue Dashboards & Pipeline Forecasting โ€” NuSummit

2023 โ€“ 2025

Led design of GTM & revenue dashboards for enterprise clients in financial services. Built pipeline forecasting models in SQL/Snowflake from Salesforce data to track lead-to-close efficiency and improve quarterly revenue predictability.

20% Campaign ROI improvement
12% Conversion rate lift
SQLSnowflakeSalesforceTableauPipeline ForecastingAWS

Multi-Touch Attribution & Channel Optimization โ€” BIA

2021 โ€“ 2023

Developed a Multi-Touch Attribution framework to determine ROAS and guide channel-level spend decisions. Optimized SQL-based reporting and conducted funnel analysis and A/B testing in HubSpot and Salesforce.

70% Dashboard latency reduction through query optimization
Multi-Touch AttributionROASSQLHubSpotA/B Testing

Fitech Case โ€” End-to-End Customer Analytics

UCSD ยท Customer Analytics

Completed a comprehensive fintech case study integrating targeting, segmentation, churn prediction, and lifetime value modeling. Delivered a full-funnel analytics strategy from acquisition through retention.

๐Ÿฆ Full-funnel GTM analytics strategy for a fintech product
Customer LTVSegmentationChurnGTM StrategyPython