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My book is out: Python Data Analysis, Fourth Edition
Co-written with my co-author, and what the year of writing it was like.
Jul 4
•
Cornellius Yudha Wijaya
3
Fix it or throw it away: deciding what to do with an AI output
The harder part is knowing which problems you can fix and which ones mean starting over.
Jun 30
•
Cornellius Yudha Wijaya
2
Why Most GenAI Workflows Need a Review Loop
A Better Prompt Is Not Enough
Jun 24
•
Cornellius Yudha Wijaya
3
Manager Memo: Reviewing GenAI Output Before It Reaches Stakeholders
A guide for managers who approve AI-assisted work: what to check, when to reject, and how to talk to stakeholders about it.
Jun 20
•
Cornellius Yudha Wijaya
2
Best MCP Servers for Stock Market Data
The best MCP servers for connecting AI agents to financial workflow
May 21
•
Cornellius Yudha Wijaya
3
1
The GenAI Skill Data Professionals Need Most: Evaluation
Only by evaluating things that we know our system is good.
May 14
•
Cornellius Yudha Wijaya
7
4
The ML Skills That Still Matter in 2026
The skills that still make you desirable by companies and ahead of everyone
Apr 30
•
Cornellius Yudha Wijaya
15
What Real SQL Work Taught Me About Being a Data Scientist
Why I stopped seeing SQL as a secondary skill and started seeing it as the backbone of real data projects
Mar 28
•
Cornellius Yudha Wijaya
6
7 SQL Use Cases Every Data Professional Should Know
Most people learn SQL as syntax. The real thing is knowing what kinds of problems it helps you solve.
Mar 7
•
Cornellius Yudha Wijaya
6
1
The Portfolio Rubric Data Science Hiring Managers Use
A practical hiring-manager style framework that you can use
Jan 20
•
Cornellius Yudha Wijaya
8
14 Portfolio Projects That Demonstrate Real Business Value
Learn from these projects to improve your data career
Oct 28, 2025
•
Cornellius Yudha Wijaya
9
1
10 Lessons Learned from Building Predictive Models
Subtle yet applicable lessons you should applied to be a better data scientist
Oct 13, 2025
•
Cornellius Yudha Wijaya
4
1
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