If you want to contact me, please use the form below, however, before writing an email, please consider the following list of points. This is a reply (consider it as a FAQ list) to the most common questions I get.
  1. Articles-related questions. If you have a question about an article (a technical question maybe, or you have spotted some mistake, or think some points are not that clear, or ...) please leave a comment in the comment section of each post. This will help me getting back to you faster and will help others who might have the very same question.
  2. "How can I do ..." questions. If your question regards advice on how to model or simulate something, I am sorry but I cannot give you a meaningful reply without analyzing the whole problem you are facing. That would require a detailed case study, and, in general, a lot of work :) . While I might be happy to do that if I had infinite time, sadly my time is limited and I cannot do that.
  3. Homeworks/assignments questions. I am not saying that you should not look on the internet, what I'm saying is I cannot do your homework for you, and trust me, this is a good thing for you. You'll get much more satisfaction by doing your homeworks/assignments by yourself. And answering those questions would require context and time too! So I cannot answer homework/assignment related questions.
  4. General advice on programming, data science, etc... , and related topics. Everyone has their own story, I do not see the point of most of these questions. My advice? Just get started!
  5. Collaboration requests. These I very much enjoy and welcome, I would be glad to work on a group project or collaborate with some other blogger, however, in this case as well, sadly my time is limited, so I am not sure why this point is even here.
  6. R-package development, simulations and analysis. I occasionally do R package development, simulations and analysis. If you need a package, or some kind of analysis, and would like an external developer to work on it, feel free to ask.
    My main on the field experience in R package developments is in:
    • Data loading in R
    • Data manipulation
    • Data cleaning
    • Data preprocessing
    • Data summarizing
    • Data visualization (ggplot2)
    • Descriptive statistics
    • Supervised and unsupervised ML models (mostly linear models, random forest, k-means, and other well established models)

    Rates will most likely vary depending on the specific project you need.
I will NOT answer via email 1, 2, 3, and 4. If your question is not included in 1, 2, 3 and 4, then email me using the form below.