Elvyna Tunggawan | Data scientist. Lifelong learner.
  1. Hierarchical view in time series forecasting

    In some of my previous posts, I have discussed a few things related to time series data. However, I haven’t covered one of the most popular topics: forecasting. Even as kids, most of us were already familiar with it. At the very least, I have wished that the next day is sunny, so I could go out with my friends. …


  2. When a straight line goes wrong

    What score will John get if he studies for five hours before the exam? …


  3. Introduction to changepoint analysis

    One of my recommended personal finance book is The Barefoot Investor: The Only Money Guide You’ll Ever Need. As a barefoot investor, you are suggested to allocate your income into several buckets: 1) blow (expenses and some splurge money), 2) mojo (safety money) and 3) grow (long-term wealth). Although I’ve unconsciously performed similar budgeting like this before, this book gives a wider perspective on money management, especially if you’are aiming to achieve financial freedom as soon as possible. …


  4. A mini guide towards better writing

    No matter what your role is, communication plays an important part in your daily activities. As a data scientist, I realize that communication is an essential skill which is often overlooked. We might be too busy learning math, statistics and other stuff, and forget that we must be able to explain results of our findings to the stakeholders. …


  5. k-means clustering: how does it work?

    Still related to my previous post, this post is a written summary from [1] - which talks about k-means clustering. Understanding k-means will be relevant to complement k-nearest neighbours (knn), since it also considers distance between data points. …


  6. k-nearest neighbours explained

    k-nearest neighbours (knn) is one of the most common algorithm in classification task. Actually, it also can be used to solve regression problem. To understand it in more detail, let’s proceed to the readings. …


  7. Survival analysis: how likely will I get in a bus?

    Oh no, not I, I will survive Oh, as long as I know how to love, I know I'll stay alive I've got all my life to live And I've got all my love to give and I'll survive I will survive, hey, hey I Will Survive (1978) by Gloria Gaynor …


  8. Time series analysis: validating effect of changes

    Have you ever wondered how much money you would spend if you didn’t start smoking last year? Have you imagined how relieved you would be if you managed to say sorry after being rude to your parents? Sometimes we want to know the effect of our decision, but unfortunately we can’t observe the alternate universe - condition when we don’t take such decision. Thus, how could we know whether we took the right decision or not? …