MS Business Analytics · UC San Diego

Hi, I'm Shivang

Business Analytics

Problem Solver

Data Storytelling

I turn messy data into clear decisions. Whether it's pricing strategy, customer retention, or marketing attribution — I find the signal, build the model, and make it actionable.

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About

Turning data into
competitive advantage

I'm a Business Analytics graduate student at UCSD's Rady School of Management. My work sits at the intersection of data science, AI, and revenue optimization — finding patterns in complex data and turning them into strategies that move the needle.

Currently building projects across pricing strategy, customer churn intelligence, uplift modeling, and media mix modeling. I believe the best analytics doesn't just describe what happened — it changes what happens next.

Previously worked in business intelligence, tracking account-level performance across 5,000+ records and surfacing trends that informed executive planning.

Languages

Python · R · SQL · JavaScript

Analytics

Tableau · Power BI · Excel · SHAP

ML & AI

Scikit-learn · XGBoost · LLMs · NLP

Tools

Git · Quarto · dbt · Spark

Degree

MS Business Analytics

School

UC San Diego — Rady

Focus

Revenue & Customer Analytics

Graduating

December 2026

Projects

Selected work

Clippers Ticket Intelligence

Analyzed secondary market resale data for every LA Clippers home game to identify pricing gaps and proposed three AI-native strategies for the ticket sales pipeline.

16xResale price spread between Lakers and Wizards matchups

Pricing StrategySports AnalyticsAI/MLRevenue Optimization

Up-Sell Ad Campaign for Intuit QuickBooks

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

$380KProfit generated from targeted second-wave campaign

Uplift ModelingCausal InferencePythonCampaign Optimization

Predicting Churn & Design of Experiments

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

🔬Experimental design to validate retention strategies before full rollout

Churn PredictionA/B TestingExperiment DesignPython

Personalization for Pentathlon

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

🎯Multi-channel personalization across customer lifecycle

PersonalizationSegmentationRecommendation SystemsPython

Measuring Uplift for Creative Gaming

Applied uplift modeling to measure incremental impact of creative ad variations on player acquisition. Quantified which creative elements drove true lift vs. organic conversion.

📈Isolated true creative impact from organic conversion

Uplift ModelingIncrementalityCreative TestingPython

Market Sentiment & Brand Perception

Analyzed Twitter and digital news sentiment to evaluate brand perception shifts. Discovered trend-driven brands experience faster short-term sentiment changes vs. established brands.

🔍Quantified sentiment velocity between brand archetypes

NLPSentiment AnalysisBrand AnalyticsTwitter API

GTM Revenue Dashboards & Pipeline Forecasting

NuSummit · 2023–2025

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

20%Campaign ROI improvement

SQLSnowflakeSalesforceTableau+1

Multi-Touch Attribution & Channel Optimization

BIA · 2021–2023

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

70%Dashboard latency reduction through query optimization

Multi-Touch AttributionROASSQLHubSpot+1

Fintech Case — End-to-End Customer Analytics

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

🏦Full-funnel GTM analytics strategy for a fintech product

Customer LTVSegmentationChurnGTM Strategy+1