Background, interests, and goals
I'm a data analyst passionate about uncovering insights that drive business decisions. With a background in Economics and International Business from SDSU, I combine statistical rigor with business strategy to solve real-world problems.
My projects span multiple industries - from analyzing $8.9M in e-commerce transactions to uncovering patterns in 530K+ automotive deals. I specialize in turning messy data into clear visualizations and actionable recommendations.
Currently expanding my skills in Python (pandas, scikit-learn), cloud platforms (AWS, GCP), and advanced SQL. Always exploring new tools and techniques to improve my analytical capabilities.
Continuously learning and adapting to new technologies and methodologies in the ever-evolving field of data analytics and business intelligence.
Statistical analysis of medical expenditure patterns among 2,000+ Medicare beneficiaries. Identified key drivers including retirement status, chronic conditions, and demographic factors using multiple regression models.
Interactive dashboard analyzing 4,338 customers and $8.9M in transactions across 37 countries. Features cohort retention analysis, geographic insights, temporal patterns, and revenue trends. Built with Python, Pandas, Plotly, and Streamlit.
Strategic dashboard analyzing 530K+ automotive transactions across premium segments. Features German luxury trio analysis (Mercedes/BMW/Audi), geographic intelligence, and performance metrics. Built with Python, Pandas, Plotly, and Streamlit.
Technical capabilities and domain knowledge
Let's connect and collaborate
I'm actively seeking opportunities and always open to discussing projects, collaborations, or connecting with fellow data professionals.
Send Me an Email