Hi! I’m Audhi, and welcome to my blog. Here, I write about topics like data simulation, machine learning, ETL, Bayesian modeling, and large language models. I share ideas on how to turn complex data into useful results and build models to understand real-world problems.
I am also interested in traceability in supply chains and how data can make processes more clear. Sometimes, I share experiments, talk about technical challenges, or write about interesting trends in technology and data.
Connect with me on LinkedIn: @audhiaprilliant
Published
2023-06-10 DataSimulation
Creating a Monopoly Game Board Simulation with Python: A Step-by-Step Guide
Creating a Monopoly Game Board Simulation with Python: A Step-by-Step Guide
2023-02-06 Statistics
The Simulation of Bootstrapping for Confidence Interval and Hypothesis Testing
The Simulation of Bootstrapping for Confidence Interval and Hypothesis Testing
2022-10-03 Statistics
Introduction to Monty Hall Problem — How More Information Can Affect the Probability
Introduction to Monty Hall Problem — How More Information Can Affect the Probability
2022-09-01 DataSimulation
The Principle of Least Effort and Zipf Distribution in Information Retrieval
The Principle of Least Effort and Zipf Distribution in Information Retrieval
Personal Blog
2025-12-09
Intro to Infographic
2022-07-01
CIPM Certification
2022-04-19
DSLS 2022 by DSI
2022-01-23
The Genetic Algorithm
2021-04-18
R and RStudio Workshop
2021-03-18
Sentiment Analysis 101
2020-07-18
Intro to Git and GitHub
2020-06-27
Intro to Apache Airflow
2019-12-17
National Data Summit
2019-10-31
Goes to GEMASTIK XII
What I Read Recently
AI 2041: Ten Visions for Our Future
by Kai-Fu Lee and Chen Qiufan, published 2021.
The Signal and the Noise - The Art and Science of Prediction
by Nate Silver, published 2012.