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ahartshorn416/README.md

Hi! 👋 I'm Alison Hartshorn

💫 About Me:

I'm a Data Scientist with a Master's in Data Science from Merrimack College (2026) specializing in end-to-end ML pipelines, fairness-aware modeling, and large-scale data analysis. My projects work with real-world datasets — 16M+ row U.S. Census data, 4.25M HMDA mortgage applications, and 941K NYC 311 service requests. I build in Python, SQL, and R, deploy dashboards in Tableau and Power BI, and hold an AWS Cloud Practitioner certification. Background in legal operations and data governance. Currently seeking entry-level Data Scientist roles in Greater Boston.

🔭 Featured Projects:

  • 🗽 NYC 311 + Weather Correlation Dashboard — Production-grade ETL pipeline ingesting 941K real NYC civic complaints + NOAA weather data via REST APIs; cleaned with Python & PostgreSQL, visualized in an interactive 5-tab Power BI dashboard with automated daily refresh. Live Dashboard
  • 🏠 Rent Burden Prediction — Fairness & ML analysis on 16M+ ACS PUMS household records (Logistic Regression, Random Forest, Gradient Boosting); equity analysis across race, sex, and geography for HUD policy context
  • 🏦 Home Loan Approval Prediction — ML pipeline on 4.25M real HMDA 2023 mortgage applications; XGBoost ROC-AUC 0.9932, 96.3% accuracy across 121 features
  • 📊 Marketing Campaign Effectiveness — End-to-end ROI analysis for Nike Inc. using real Google Trends (pytrends API) + SEC EDGAR 10-K filings; ROAS modeling, lag correlation, and 6-panel dashboard in Python
  • 🔄 Customer Churn & CLV Analysis — End-to-end SaaS churn prediction pipeline; synthetic data calibrated to HubSpot 2023 10-K & SaaS Capital benchmarks; Logistic Regression (AUC 0.92) identifying $2.3M annual MRR at risk across 5,000 customers; interactive Tableau dashboard with risk segmentation and intervention ROI modeling. Live Dashboard

🌐 Socials:

LinkedIn Tableau

💻 Tech Stack:

Python R MySQL PostgreSQL NumPy Pandas Matplotlib scikit-learn XGBoost PyTorch Tableau Power BI SciPy

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  1. nyc311-weather-dashboard nyc311-weather-dashboard Public

    Does rain make New Yorkers angrier? ETL pipeline + Power BI dashboard correlating 941K NYC 311 complaints with daily weather data. Python · PostgreSQL · Automated daily refresh.

    Python

  2. predicting-rent-burden predicting-rent-burden Public

    ML models predicting U.S. household rent burden using 16M+ ACS survey records — includes fairness analysis across race, sex & geography to inform housing policy.

    Python

  3. home_loan_approval_prediction home_loan_approval_prediction Public

    Predicts U.S. home loan approvals using 4.25M real HMDA 2023 applications — XGBoost, Random Forest, Logistic Regression, ROC-AUC 0.9932

    Python

  4. marketing-effectiveness-analysis marketing-effectiveness-analysis Public

    Analyzing marketing campaign ROI for Nike using Google Trends, SEC EDGAR financials, and lag correlation — built in Python with pandas, matplotlib, and pytrends.

    Python

  5. customer-churn-analysis customer-churn-analysis Public

    End-to-end SaaS customer churn prediction and CLV analysis · Logistic regression model (AUC 0.92) · $2.3M MRR at risk identified · Calibrated to HubSpot 2023 10-K and SaaS Capital benchmarks · Pyth…

    Jupyter Notebook