Gavin Boss | Data & Business Analytics
Gavin Boss
Senior Analyst | M.S. Applied Business Analytics | Python • SQL • Power BI • Predictive Analytics
I am an analytics professional with 8+ years of experience solving complex problems, identifying meaningful patterns, and translating analysis into actionable recommendations for senior decision-makers.
I completed a Master of Science in Applied Business Analytics at Boston University, where I expanded my professional analytical background with hands-on work in Python, SQL, Power BI, statistical modeling, machine learning, forecasting, simulation, optimization, and data visualization.
My work focuses on turning complex data into clear insights that support better decisions, improve processes, and help organizations understand what is driving performance.
What I Bring
Data & Predictive Analytics
- Python, SQL, R, Pandas, NumPy, SciPy, and Scikit-learn
- Predictive modeling, regression, classification, clustering, and forecasting
- Bayesian analysis, Monte Carlo simulation, optimization, and statistical testing
- Data cleaning, feature engineering, model evaluation, and reproducible analysis
Business Intelligence & Visualization
- Power BI, Tableau, Excel, Power Query, and Matplotlib
- KPI development and performance reporting
- Dashboard design and data storytelling
- Executive-level reporting and decision support
Analytical Decision Support
- 8+ years of professional analytical experience
- Pattern, trend, and anomaly identification
- Structured problem solving in ambiguous environments
- Cross-functional collaboration and stakeholder communication
- Leadership, process improvement, and workflow standardization
Featured Projects
Predictive Salary Modeling
Built and compared generalized linear regression, polynomial regression, and Random Forest models in Python to predict salary outcomes and evaluate the variables most strongly associated with compensation.
Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib
Methods: Regression, Random Forest, feature importance, model evaluation
Zurich Airbnb Market Analysis
Analyzed Airbnb listing data using regression, classification, clustering, NLP, and dimensionality reduction to identify market patterns, customer segments, and factors associated with listing performance.
Tools: Python, Pandas, Scikit-learn
Methods: Random Forest, K-Means, PCA, TF-IDF, regression
Risk, Simulation & Decision Optimization
Developed quantitative decision models to compare business strategies under uncertainty using forecasting, Monte Carlo simulation, Bayesian inference, optimization, and financial decision analysis.
Projects included:
- 50,000-path demand simulations
- 100,000-trial strategy optimization
- Bayesian probability modeling
- Net Present Value decision frameworks
- Risk-constrained resource allocation
Tools: Python, NumPy, SciPy
Methods: Monte Carlo simulation, Bayesian analysis, forecasting, optimization
Professional Background
Before expanding into business and data analytics, I built more than eight years of professional analytical experience in national-security environments.
My work has required me to:
- Analyze complex and incomplete information
- Identify emerging patterns, risks, and relationships
- Develop high-confidence analytical assessments
- Lead analytical teams in high-tempo environments
- Communicate findings and recommendations to senior decision-makers
- Improve analytical workflows, reporting standards, and organizational processes
This experience now complements my technical analytics background, allowing me to approach business problems with both quantitative rigor and strong analytical judgment.
Technical Skills
Programming & Data:
Python • SQL • R • Pandas • NumPy • SciPy • Scikit-learn • Jupyter Notebook
Business Intelligence:
Power BI • Tableau • Excel • Power Query • Matplotlib
Analytics:
Predictive Modeling • Statistical Modeling • Regression • Classification • Clustering • Forecasting • Machine Learning • Bayesian Analysis • Monte Carlo Simulation • Optimization
Development:
Git • GitHub
Professional:
Data Storytelling • Executive Reporting • Stakeholder Communication • Process Improvement • Decision Support • Cross-Functional Collaboration
Education
Boston University
M.S. Applied Business Analytics
Graduate coursework and projects focused on:
- Predictive analytics and machine learning
- Statistical modeling
- Business intelligence
- Forecasting and optimization
- Simulation and uncertainty analysis
- Data visualization and decision support
University of Maryland Global Campus
B.S. Cybersecurity Management & Policy — Honors
Explore My Work
Connect With Me
GitHub: github.com/gavinboss
LinkedIn: linkedin.com/in/gavinboss
Project Portfolio: gavinboss.github.io/projects.html ```