Author: Stan Neo

Past Articles

  • Is Data Science Still Worth It in 2024?

    As we step into late 2024, one question looms large: Is data science still worth pursuing? As a data scientist with years of experience, I’ve observed many shifts in the industry, especially with advancements in generative AI, automation, and machine learning. In this post, I’ll break down my insights on why data science remains as…

  • Strategies to Enhance Coding Skills in Data Science and Machine Learning After Two Years

    It’s natural to feel a sense of anxiety and inferiority when comparing your work to experienced professionals on platforms like Kaggle and GitHub. Their exceptional codes, visualizations, and practices utilizing unfamiliar libraries can make your own work seem inadequate. However, it’s important to remember that everyone starts somewhere and learning from these professionals can be…

  • How DS Team Leaders Keep Junior Scientists Engaged During Low Request Volume

    How DS Team Leaders Keep Junior Scientists Engaged During Low Request Volume As a Data Science (DS) team leader, I understand the importance of keeping junior scientists engaged and productive, especially during periods of low request volume. With the focus shifting to Data Engineers and Architects responsible for pipeline building, the number of incoming requests…

  • Improving Business Acumen in Data Science

    Improving business acumen in data science work can indeed be a challenging task, especially for individuals with a strong academic background. To overcome this hurdle, it is crucial to focus on a few key actions that can significantly enhance business-oriented skills. Develop a Deep Understanding of the Industry and Domain Firstly, developing a deep understanding…

  • Enhancing Your Data Science Skills During Your First Year

    Congratulations on getting your very first Data Science job! To further enhance your skills, it is great to identify areas for improvement, such as model deployment, automation, and parallelization. These are important skills for a Data Scientist to possess and can greatly contribute to your career growth. To address this, here are some suggestions: 1.…