Amy Fang

I'm a |

I build intelligent, data-driven systems that connect machine learning with how people think and how businesses operate. With training in data science, cognitive science, business, and music, I translate complexity into practical, scalable solutions.

About Me

I'm a data scientist with an interdisciplinary background in data science, cognitive science, business, and music from University of Pennsylvania. This shapes how I approach problems with both technical rigor and human insight. I focus on building intelligent, data-driven systems that are not only effective, but also intuitive and practical in real-world settings.

My work spans data analysis, machine learning, marketing, strategy, and research. I'm especially motivated by problems where data, people, and strategy intersect.

Previously, I've applied these skills in consulting and analytics roles, supporting data-driven strategy, market analysis, and AI-focused projects across business contexts. In parallel, I've worked on machine learning research in healthcare and Penn Medicine. Together, these experiences ground my work in both practical impact and technical depth.

Technical Skills

Data Science & AI

Data Cleaning, Feature Engineering & Exploratory Data Analysis
Model Evaluation & Performance Metrics
Machine Learning (supervised & unsupervised)
Statistical Modeling & Time Series Analysis
Deep Learning (MLP, CNN, RNN, LSTM, Transformers)
Natural Language Processing
Computer Vision & Medical Imaging
Diffusion Models

Programming Languages

Python
SQL
Java
MATLAB
OCaml
JavaScript

Visualization & Tools

Tableau
Matplotlib
Git / GitHub
AWS
React
Node.js

Education

University of Pennsylvania

2023-2025

M.S. in Data Science

Focus areas: Natural Language Processing, Machine Learning & Deep Learning, Big Data Analytics, Database, Product Design and Management, Artificial Intelligence, etc.

University of Pennsylvania

2020-2024

B.A. in Cognitive Science (Cognition and Computation), Music

Minor: Business, Computer and Information Sciences

Interdisciplinary training in human perception, reasoning, psychology, business, human computer interaction, etc.

Experience

Genpact

Recent

AI / Agentic Automation Intern

  • Designed future-state workflows using AI agents and automation to streamline complex banking operations
  • Analyzed end-to-end processes (onboarding, servicing, audits, account closure) to identify bottlenecks and AI opportunities
  • Designed end-to-end AI pipelines integrating ML models, GenAI components, and human-in-the-loop decision points
  • Translated technical solutions into executive-ready strategy decks, metrics, and roadmaps
  • Helped bridge business needs and AI implementation, driving measurable gains in efficiency, risk control, and customer experience

PwC Strategy&

Strategy Consulting

  • Analyzed large-scale customer and sales datasets to uncover drivers of adoption, engagement, and profitability
  • Built analytical frameworks and dashboards to support market sizing, competitive benchmarking, and growth decisions
  • Translated quantitative insights into clear, executive-level recommendations for digital and marketing strategy

Wharton / Mack Institute

Research & Innovation

  • Analyzed sales and marketing data to quantify profitability, customer segments, and growth opportunities for retail businesses
  • Built dashboards and performance analyses to evaluate digital and AI-driven initiatives, guiding strategic prioritization
  • Delivered data-backed recommendations that directly informed client decisions on market expansion and technology adoption

BlueCow Management Consulting

Business Analyst Intern

  • Partnered with LGBTQ non-profit to address membership and donation stagnation
  • Analyzed membership data using Python to identify growth barriers and researched competitor strategies
  • Led initiatives including brand repositioning, event redesign, and membership program optimization
  • Achieved 35% membership growth and 18% donation increase within six months

Flame Communications

Public Relations Consultant Intern

Singapore Chinatown

  • Interviewed business stakeholders to develop post-pandemic reopening strategies
  • Created and managed social media accounts with 3 weekly posts, averaging 2000+ views per week
  • Conducted data analysis to tailor content and schedule based on viewer preferences
  • Increased average sales by 8% for featured businesses during Q3 2021

Penn Compose Music & Creativity Club

Current

Co-President, Board Member

  • Led semester theme concerts featuring diverse styles with professional student performers—sold out every show
  • Organized weekly rehearsals and activities, partnering with art departments to invite professional artists
  • Secured sponsorship from multiple school departments for equipment and venues
  • Managed official account for recruitment and promotion; expanded club size by 40%

Featured Projects

AI-Generated Text Detection

Research

Built and evaluated multiple classifiers (Logistic Regression, MLPs, DeBERTa) for detecting AI-generated text. Compared preprocessing strategies and achieved near-state-of-the-art performance on the DAIGT v2 dataset with emphasis on interpretability and evaluation rigor.

NLP Deep Learning Model Evaluation

Medical Image Super-Resolution

Research

Developed diffusion-based pipelines for CT image enhancement using DINOv3, EDM2, SAM3D, and PnP-Inversion. Focused on pose estimation, 3D transformations, and balancing research experimentation with reproducibility.

Computer Vision Diffusion Models Medical Imaging

Entrepreneurial Ventures

Product

JOOPI – Dating app with UX experimentation and social-media growth strategies
Samwich – Food/recipe assistant with conversational UI
Verisight – AI authenticity & watermarking concepts for creative content

Product Design User Experience AI Applications

Get In Touch

Let's Build Something Great

I'm always interested in discussing AI research, product opportunities, or collaboration on impactful projects. Let's connect and create something meaningful.