My name is
Martin Chavez

About Me

I'm a data analyst based in Los Angeles. I earned a B.S. in Business Administration, Business Analytics, from California State University, Northridge, finishing in the top 10% of my class with a 3.93 GPA. Before that, I completed a Business Analytics Certificate of Achievement at Pasadena City College, where I learned R, regression and forecasting.

Analytics was my job before it was my major. As operations coordinator at Dent Right, a small business in Los Angeles, I've run billing and accounts receivable since 2020, reconciling payments against invoices and preparing financial summaries for the owner. Recently I built a Python audit of four years of its billing, nearly $1M across ~7,900 invoices, that flagged 40 records to correct and showed how much of the business depends on one client.

Why Data Analytics

That work taught me that clean data and a clear summary are what make good decisions possible. At CSUN I built on that across three areas: data visualization (everything from distributions and heatmaps to network graphs, word clouds and maps), predictive analytics (data preparation, regression, regularization, decision trees, random forests and model evaluation), and machine learning (KNN, Naive Bayes, market basket analysis, clustering, SVMs and neural networks, up to deep learning in PyTorch).

I've also put those skills to work outside the classroom: two datathons where our teams presented findings to judges from Microsoft and Resolution Economics, and an Airbnb pricing model I built with Claude Code during an industry mentorship, reviewed by a data analyst at Rocket. In R, I've done sentiment analysis, word networks and forecasting, and I use SQL to pull and join the data I need.

On campus, I was inducted into Beta Gamma Sigma, the international business honor society, and served as recruitment chair of the Latino Business Association and marketing chair of the Business Analytics Club.

What I enjoy most is the full arc of a project: finding the right question, wrangling the data, building the model, and explaining the result so anyone can act on it. I'm looking for data analyst and business analyst roles where I can do that every day.