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  • 15:24 (UTC -12:00)

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Joe082/README.md

πŸ‘‹ Hi, I’m Joe Zhou (Yifei)

🎯 Data Scientist | Applied Data Science @ University of Chicago
🧠 Neuroscience + Quantitative Science @ Emory | Top 15%
πŸ’‘ Turning data into insights across marketing, trading, and forecasting


πŸ”— Let's Connect

LinkedIn
πŸ“§ joeyifei@outlook.com | πŸ“ Chicago, IL


πŸ’Ό What I Do

  • πŸ“ˆ Forecasting Expert – Built SARIMA, Prophet & XGBoost models to predict sales, optimize inventory, and detect anomalies (15% drop in error; mitigated $10M potential loss).
  • πŸ’Ή Trading Strategy Developer – Designed momentum-based stock strategies for asset allocation (20% annualized return at Balentine Wealth).
  • πŸ“Š Dashboard & Insights Builder – Created 10+ dashboards in Tableau, Power BI, Google Analytics to guide marketing & financial decisions.
  • πŸ§ͺ A/B & Cohort Testing – Improved user retention and campaign ROI through statistical testing and customer segmentation (5% increase in cohort frequency at Ogilvy Health).
  • πŸ”Ž Growth-Oriented Analyst – Worked across 5M+ data points, reduced refresh time by 90%, and automated custom reporting at Nielsen.

πŸ›  Tech Toolbox

Python R SQL GCP Git Figma Jupyter MongoDB Azure AWS Oracle SQL Linux VSCode Anaconda


πŸ”¬ Recent Roles

πŸ”Ή Data Scientist Intern – Nielsen
β†’ Modeled demand trends and macroeconomic impacts, automated forecasting, and drove decision-making with custom dashboards.

πŸ”Ή Marketing Analytics Intern – Ogilvy Health
β†’ Segmented 30K+ users, tested outreach channels, and optimized launch performance for a top pet allergy product.

πŸ”Ή Trader Intern – Balentine Wealth Advisor
β†’ Designed real-time momentum trading models with historical trend insights and portfolio impact.

πŸ”Ή Investment Analyst – Diamond Equity Research
β†’ Built dynamic financial models and dashboards to support equity research and valuation for small-cap companies.


🎡 Fun Fact

I’m also into swing dancing and jazz piano β€” data by day, improv by night. πŸŽΉπŸ•Ί


β€œDriven by curiosity. Powered by data.”

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