About

Hi! 👋 I’m Amy.

I spiraled into data analytics through music, architecture research, and a deep love for the feedback frameworks of cybernetic anthropology (think Bateson’s Steps to an Ecology of Mind). What I love most is the moment a dataset stops feeling abstract and starts to feel like an instrument—playable, knowable, subtly expressive, revealing emergent motifs and themes.

The projects below are ones I’ve pushed to the limit over the past year—curious, stubborn, committed, from repo to runtime. In return, each one pushed me to listen more closely, discerning the next steps from the trace of events.

Thank you for stopping by! Let’s explore and build something together.

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Education

• Machine Learning Specialization
  CareerFoundry (Summer 2025)
• Data Analytics Certificate
  CareerFoundry (Spring 2025)
• Dance Accompaniment Intensive
  Mark Morris Dance School, NYC
• M.Phil, Architecture Theory and History
  Columbia GSAPP, NYC

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Work Experience

📄 Resume

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Projects

A selection of projects exploring data through multiple lenses—from user behavior and business intelligence to public infrastructure, climate resilience, and machine learning experiments.

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🌍 Public Policy & Infrastructure

Description: Applied analytics in public health, infrastructure, and social planning.

• Electricity Grid Water Usage Anomaly Detection 💧⚡️
  (June 2025)
  Independent capstone project assessing public water data quality and identifying potential outliers in power plant usage

• Historical Influenza Patterns in the U.S.: Preparing for the Flu Season 💉🏥
  (November 2024)
  EDA and geospatial analysis of influenza mortality in the U.S. (2009–2017), with recommendations for medical staffing agencies

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📊 Business Intelligence

Description: Data-driven insights for product optimization, churn prediction, user behavior, and customer segmentation.

• Instacart Market Basket Analysis 🛒📈
  (January 2025)
  EDA, feature engineering, and behavioral analysis of online shoppers using Python

• GameCo Regional Marketing Strategy 🎮🗺️
  (September 2024)
  Descriptive sales analysis and visual strategy recommendations for regional marketing budget allocation

• Rockbuster Stealth LLC 🎬🎯
  (December 2024)
  SQL and Tableau dashboard development for a potential Netflix competitor

• Bank Churn Prediction 💰🔎
  (February 2025)
  Manual decision tree modeling and insights report for predicting user churn

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🦾💪 Machine Learning & Experimental

Description: ML applications, pedagogical walkthroughs, and speculative design.

• ClimateWins: Part I (Intro to ML) 🌦️🤖
  (June 2025)
  Comparison of supervised learning models for predicting weather conditions (Linear Regression, Artificial Neural Network, K-Nearest Neighbors, Decision Tree)

• ClimateWins: Part II (Modeling Experiments: Predicting Rain and Climate Drift) ☔️📉
  (August 2025)
  Random forests with hyperparameter optimization and time-aware train/test split, emphasizing interpretability and strategic feature engineering