Credit Card Fraud Detection Model
Built and trained a neural network classifier on a heavily imbalanced transaction dataset, applying SMOTE resampling and threshold tuning to raise recall on fraudulent transactions
BeReal. Externship via Extern
Georgia Tech master's candidate with hands-on experience from consulting externship.
Projects focus on healthcare operations, process improvement, and consulting work completed during the Institute of Mental Health externship while I pursue my masters.
Built and trained a neural network classifier on a heavily imbalanced transaction dataset, applying SMOTE resampling and threshold tuning to raise recall on fraudulent transactions
Forecasted demand from several years of sales data at a family owned restaurant I help operate, translating predictions into staffing recommendations that reduced overstaffed shifts during low traffic periods
Georgia Tech master's candidate with hands-on experience from consulting externship.
I am Evan Zhang, a graduate student at Georgia Tech pursuing a master's in Management. I have started my career and am exploring a career change while completing a Healthcare Operations & Consulting externship with the Institute of Mental Health.
Externships
BeReal Product Management Externship
In progress
Experience
Professional Services Engineer I
FIS Global · Jun 2025 – Present
Teller
Wells Fargo · Feb 2024 – May 2025
Education
Georgia Institute of Technology, Scheller College of Business
Master of Science in Management
Georgia State University
Bachelor of Science in Computer Science, GPA: 3.5/4.0
Skills
Built and trained a neural network classifier on a heavily imbalanced transaction dataset, applying SMOTE resampling and threshold tuning to raise recall on fraudulent transactions
Forecasted demand from several years of sales data at a family owned restaurant I help operate, translating predictions into staffing recommendations that reduced overstaffed shifts during low traffic periods
Designed and shipped a full stack fintech application that simulates loan amortization scenarios, with a REST API backend, JWT authentication, and Stripe payment integration
✅ Verified by Extern · ⏱️ In progress
Discover how product teams at social apps like BeReal design for authenticity while driving user growth. In this externship, you’ll explore what keeps users coming back— benchmarking competitors, analyzing engagement features, and designing your own growth-driven app feature. You’ll learn how to balance product innovation with BeReal’s unique mission of real, unfiltered connection. Perfect for those interested in product management, UX strategy, or social media innovation, this experience gives you a hands-on look at how product teams grow platforms without losing their core values.
The externship examined how social apps balance authentic user experiences with growth strategies. The work compared engagement features across competitors, analyzed retention drivers, and designed a prototype growth feature for a social app. Deliverables included competitive benchmarks and a feature concept.

I evaluated core social apps, mapped engagement mechanics, and designed a growth-focused feature concept that preserved authentic interactions. Below are the specific tasks I completed during the externship.