Collect & clean
Gather the data, check its quality, handle missing values, and reshape it into a reliable foundation for exploratory analysis.
Python
R
About me
I’m Annisa, a data analyst combining statistical thinking, Python, R and digital product experience to uncover patterns and explain for making better decisions.
How I work
From question to recommendation.
A repeatable three-step process for preparing evidence, finding meaningful patterns, and communicating what they mean.
Find the pattern
Explore distributions, test assumptions, compare groups, and model relationships while keeping uncertainty visible.
SPSS
R
Python
Visualize & explain
Turn results into clear charts and a concise narrative that connects the evidence to a practical decision.
R
Python
SPSS
Portfolio
Three questions, three analytical tools.
A small selection of projects exploring prediction, explanation, and evidence across different datasets.
Melbourne Housing Price Analysis
Exploring property records, suburb-level patterns, and the characteristics associated with Melbourne sale prices.
UFC Fight Winner Predictor
Building an R-based model to estimate a fighter’s probability of winning from historical bout and performance data.
AI at Work: X Sentiment Analysis
Comparing how people discuss AI productivity and AI-related job threats using the official X API, DuckDB, and VADER sentiment scoring.
Recent writing
A notebook without a final page.
The Thinking Machine
Ridge and LASSO Regression: Shrinkage Methods to Improve Predictions
Cook’s Distance or DFFITS: When to Use Which?
Wait, So What’s Math 2.0 Really?
Orthogonal Columns in Regression Matrices
If You Do The Math
How Long is a Piece of String?
The Concise Oxford Dictionary of Mathematics
Math Meme Review with Grant Sanderson
