About Code Insights
I used to think data science required a PhD and infinite patience. Turns out, the best insights come from curiosity, experimentation, and learning from mistakes. That's what Code Insights is about.
I'm Bernard Yeo, a Senior Product Analytics Engineer. I spend my days building data pipelines, designing analytics solutions, and helping teams make smarter decisions with data. Over the years, I've worked across the technology and e-commerce sectors, solving real problems with machine learning, analytics, and AI — problems that most textbooks never mention.
| Company | Role |
|---|---|
|
Senior Analytics Engineer |
|
Senior Product Analyst |
|
Senior Data Analyst |
|
Data Analyst |
What You'll Find Here
This blog is where I share what I've actually learned in the trenches:
- Real-world case studies — How teams use data science and ML to solve production problems, not hypothetical scenarios
- Emerging AI & ML technologies — LLMs, RAG, AutoML, and other tools reshaping the industry (explained without the jargon)
- Best practices & hard-won lessons — The wins, the failures, and what they taught me about building scalable data solutions
- Career guidance for data scientists — Navigating interviews, building portfolios, and thriving in a rapidly evolving field
Who This is For
Whether you're starting your data science journey, intermediate and looking to level up, or building analytics at scale in your organization — you'll find practical, actionable insights here. I write for people who want real-world knowledge, not hype.
Beyond Code and Data
When I'm not working with data, you'll find me at a local café with a good cup of coffee, catching up on the latest tech trends and innovations. I believe that staying curious about what's happening in the broader tech ecosystem makes you a better data professional.
Let's Connect
Have questions, ideas, or want to chat about data science? I'd love to hear from you:
- 🔗 Connect on LinkedIn
- 💬 Drop a comment on any post — I read and respond
Looking forward to exploring data science together.
— "Bernard"