User Portlet
I am a lifelong learner with a deep passion for data and a commitment to continuous improvement. Over the past five years, I have applied my skills to deliver data-driven solutions across various industries, including finance, energy, logistics, conservation, and technology. My goal is to transform complex data into actionable insights that inform smarter decisions and unlock new possibilities.
As a Business Intelligence Intern at Data Science Research Services and a Research Assistant at the Gies College of Business, I assist organizations and academic teams in making informed decisions through interactive dashboards, predictive models, simulations, and automated workflows. My strength lies in combining technical depth with business and research impact.
Data Wrangling & Automation I focus on building efficient data pipelines using Python, SQL, and ETL tools, with recent exploration into symbolic computation and the Wolfram Language to support scalable, research-oriented workflows.
Data Visualization & Storytelling I create intuitive dashboards using Power BI, Tableau, and GIS tools. I also use Wolfram Notebooks to craft data stories, explore complex questions, and present insights interactively, merging narrative, computation, and visualization in a single medium.
Predictive Analytics & Simulation I apply classification models, regression, time series forecasting, and Monte Carlo simulations to support forward-looking decisions, from market analysis to pricing strategy.
Geospatial & Remote Sensing Analytics I use GIS and machine learning to support spatial analysis in forestry, reclamation, logistics, and infrastructure planning.
Strategic Decision Support & Research At GIES College of Business, I design and implement machine learning models to analyze whale activity and social sentiment in decentralized finance (DeFi) markets. This work supports academic publications and conference presentations, combining rigorous methodology with practical outcomes.
Outside of work, I enjoy watching films and reviewing them on Letterboxd. I am also a baseball enthusiast who loves analyzing stats, player trends, and in-game strategy.
Professional Skills Hypothesis Testing | Regression Analysis | Monte Carlo Simulation | Predictive Modeling | Data Engineering | Geospatial Analysis
Domain Experience Business Intelligence | Energy & Logistics | Finance & DeFi | Conservation | GIS & Remote Sensing | Public Sector Technology
Technical Skills Python | R | SQL | Power BI | Tableau | ArcGIS | QGIS | Wolfram Language | Machine Learning | Statistical Modeling