Navigating the ever-changing field — To be a data scientist is to sign up as a lifetime learner. Something new is always coming up in the data science field — — a new algorithm, a new practice, a new concept. How should we data scientists keep current and navigate through this ever-changing field? …

Setting up my North Star — How time flies, I have worked as a data scientist in two different companies for over one and a half years now. In my previous article, I wrote about how I became a data scientist as an Econ Ph.D. At the end of the article, I shared some thoughts I…

my happy place — After over three years of continuous writing, I have published a great number of blog posts and I feel it is time to organize them in one place. I cannot express how grateful I am for those who viewed, read, clapped, and responded to my articles. Watching the number of…

“The Book of Why” Chapters 5&6, a Read with Me series — During the early stages of infancy, our brains already learn to associate correlation with causation and try to find an explanation for everything happening around us. If a car behind us takes the same turns we do for a long time, we assume it's following us, which is a causal…

“The Book of Why” Chapters 3&4, a Read with Me series — In my previous two articles, I kicked off the “Read with Me” series and finished reading the first two chapters from “The Book of Why” by Judea Pearl. These articles discuss the necessity of introducing causality in enabling human-like decision-making and emphasize the Ladder of Causation that sets up the…

“The Book of Why” Chapters 1&2, a Read with Me series — In my previous article, I kicked off the “Read with Me” book club to explore Judea Pearl’s “The Book of Why”. I would like to thank everyone who has shown interest and signed up to join the club. I am hopeful that we can embark on a journey to deepen…

How? — I'm thrilled to share that I've recently been promoted!!! This is definitely a significant milestone in my career development. Reflecting on my journey, including all the achievements and struggles along the way, I can see my growth from being a junior new grad to a senior who leads multiple project…

Yes, it’s much more than data visualization — Data is everywhere. Anyone with some level of training, and nowadays with a bit of help from AI, can generate some scientific insights out of data and build fancy data visualizations. However, interpreting and selling the meanings behind the numbers and graphs is an art. When ChatGPT and generative AI…

and how to avoid it with a practical workflow — In today's business landscape, relying on accurate data is more important than ever. The phrase "garbage in, garbage out" perfectly captures the importance of data quality in achieving successful data-driven solutions. While using the right model for forecasting or classification is crucial, it's impossible to achieve good results without reliable…