Data Analytics Portfolio

Joseph
Nagothu.

Business Analytics graduate student building data products that tell clear stories — from A/B tests on 90K players to real-time outdoor apps.

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Joseph Nagothu
LinkedIn
Resume
About

Who I Am

I'm a Business Analytics MS candidate at Pepperdine Graziadio (GPA 3.8, graduating August 2026) with a background in biology and a deep interest in turning messy data into clear decisions. I'm based in Seal Beach, CA and actively seeking analyst roles in data, business intelligence, FP&A, and real estate analytics nationwide.

Outside of analytics I build apps — I recently launched Send It, a real-time outdoor conditions platform for surfers, climbers, and mountain bikers, now live on the App Store. I also volunteer as a Data & Operations Analyst for a multi-state rental portfolio, doing financial modeling and occupancy tracking across properties in Kentucky and Arkansas.

Technical Skills
Python SQL · BigQuery A/B Testing Streamlit Pandas · Plotly Tableau R · SPSS Retention Analysis KPI Dashboards Statistical Modeling Monte Carlo Simulation Mixpanel Marketing Analytics Cost Modeling React Native AWS · MongoDB
Analytics Work

Dashboards

Cookie Cats LiveOps Dashboard
🎮 F2P Gaming LiveOps A/B Testing
Cookie Cats — LiveOps Analytics
What this analyzes

A real A/B test on 90,189 mobile game players examining whether moving the progression gate from level 30 to level 40 increases or hurts retention. Covers Day-1 and Day-7 retention rates, chi-squared significance testing, player engagement segmentation by play volume, and a full set of plain-language LiveOps recommendations for the product team.

Live Dashboard GitHub
Customer Marketing Campaign Dashboard
📊 Marketing Segmentation Customer Analytics
Customer Behavior & Marketing Campaign
What this analyzes

Demographic and channel analysis across 2,237 retail customers. Explores how income, education, and marital status shape total spending across product categories — and tracks purchase volume across web, in-store, and catalog channels. Sidebar filters let you segment the entire dashboard in real time.

Live Dashboard GitHub
Coffee Shop Sales Dashboard
☕ Operations Revenue Analytics
Coffee Shop Sales Dashboard
What this analyzes

Operational sales analytics for a coffee shop — answers which items drive the most revenue, which hours are peak, and which categories are carrying the business. Toggle between a full weekly overview and a day-of-week drill-down showing hourly trends, top-selling items, and category breakdowns to support staffing and pricing decisions.

Live Dashboard GitHub
Product Development

Apps

🏄
✅ Live on the App Store
Send It

A real-time outdoor conditions and trip-planning app for surfers, mountain bikers, climbers, hikers, and campers. Curated spot data, live weather and marine conditions, and a full trip log — all in one place. Built in React Native with Expo and a Supabase backend.

  • Live surf, MTB, climbing, and trail conditions by spot
  • Curated Southern California spot database with directions
  • Map exploration with activity-type filtering
  • Trip planning with saved spots, notes, and a session log
  • Now live on the App Store, with a web version available too
React Native Expo TypeScript Supabase OpenWeather API Google Places
App Store Web App GitHub
Get In Touch

Let's work together.

Open to analyst roles in data, business intelligence, FP&A, and real estate analytics across the U.S., with openness to relocation. Available August 2026.

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