Kaitlyn + Jordan

Jordan Hirsch

Data Analyst | Business Intelligence Analyst

SQL | Python | Power BI | SAS

Computer Science graduate dedicated to solving complex operational problems through data modeling and predictive analytics.


Collection

Expertise in extracting and structuring data from POS systems and REST APIs to build robust analytical foundations.

Processing

Intermediate proficiency in SQL (PostgreSQL and MySQL), SAS, and Python for data cleaning, transformation, and complex query optimization.

Visualizing

Transforming complex datasets into high-impact narratives via Tableau, Power BI, and Python visualization libraries.

Who Am I?

I am a Computer Science graduate and Data Analyst dedicated to bridging the gab between raw technical data and business strategy. With a foundation in PostgreSQL, Python, SAS and Power BI, I build automated pipelines and interactive dashboards that turn operational questions into measurable growth.


Portfolio

Caffeine Consumption Analysis

Explored correlations between caffeine habits and sleep quality by analyzing a dataset of 500+ survey responses. Built an interactive Tabeau story with advanced filtering to visualize demographic-specific consumption patterns and outcomes.

ER-Triage Classifier

Engineered a Machine Learning (Random Forest) model in Python to predict patient triage priority with ~99% accuracy. Optimized the model through feature engineering and rigorous data preprocessing of PostgreSQL health records.

Healthcare Optimization Analytics

Developed a comprehensive performance dashboard using SQL and Power BI to track staffing utilization and operational costs. Automated data transformation pipelines to provide healthcare administrators with real-time, actionable insights into workforce efficiency.

Owl Commuter Assistant

Leveraged Python and API integrations to build a functional tool aimed at improving the daily commuter experience at Florida Atlantic University. Focused on technical reliability and user-centric data delivery to solve local transit challenges.