data-science-portfolio

Emily Picinich — Data Science Portfolio

Welcome! I’m a data analyst and MSDS student focused on forecasting, NLP, and data storytelling. This site highlights a few representative projects with short case studies and links to the full code and notebooks.

Tip: Each project page lists Problem → Data → Methods → Results → Links. Jump straight to Projects below.

U.S. Retail Sales Forecasting

Classical time series (SARIMAX/Prophet) on monthly sales; holdout year evaluation.

Read case study →

SAT Score Equity Analysis

EDA + regression to examine relationships among SAT outcomes and demographics.

Read case study →

TSA Complaint Explorer

Topic modeling and geospatial patterns; interactive visuals.

Read case study →

About

I blend retail operations experience with modern data science to solve real business problems, from forecasting demand to mining text for insights. I prioritize clean code, transparent methods, and decision-ready visuals.

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