Articles

After developing my first PowerBI project, I learn and implement preferred practices in semantic modeling and the star schema approach to dashboard development.

My method of using GPT-4 to clean 1,229 sometimes awkward, abbreviated HS-4 commodity descriptions into clear, natural language descriptions.

Estimate the probability distribution of temperatures on a specific calendar day (June 9th) in a specific town (Litchfield, CT) at a specific time (1:00pm)

Reviewing how I created the interactive navigation menu you see on the left sidebar of this site. I learned about DOM, even listeners, and basic CSS/JavaScript tradeoffs.

Using public Census data, I applied data mining algorithms to model the socioeconomic correlations of economic growth on the 884 official Census tracts of Connecticut to generate 5-year forecasts for the year 2028.

As part of my M.S. thesis, I used PCA to compress 3 variables into a single variable for use as my predictor variable. I discuss tradeoffs of PCA in the context of my specific problem case.

A Python-based notification system that monitors changes in the price or availability of books on your Amazon wishlist. Users receive email alerts when key changes occur, helping them stay updated on their desired books.

How to deploy a simple machine learning model using Streamlit, turning a trained model into an interactive web app.

Exploring the idea that t-tests for comparing group means are mathematically equivalent to performing OLS regression with a binary predictor, highlighting the flexibility and power of regression analysis.

How I approaching building my first serious Power BI dashboard using U.S. international export data