PinnedHow I use AWS SageMaker DeepAR to Manage my Child Diabetes!Part [1/3]: Introducing the ProblemMar 12, 2022Mar 12, 2022
PinnedHands-on Graph Neural Networks for Social Network Using PyTorchMy original post is Here and the code notebook is on my GitHub Here!Jul 11, 20211Jul 11, 20211
Designing Data Systems with a Governance-First MindsetIntroduction — Rethinking Governance6d ago6d ago
How Databricks Enables Decoupling in Modern Data ArchitecturesDecoupling in data solutions means structuring your architecture so that changes in one area don’t trigger cascading modifications across…Mar 15Mar 15
The Decoupling Principle For Future-Proof Data ArchitecturesIf you’ve been involved in architecting solutions, you already know that decoupling is a widely accepted principle. It frequently appears…Mar 9Mar 9
Great Architects Do More Than Draw Diagrams: 7 Practices to Turn Designs into RealityLet’s be real — architecture isn’t just about drawing fancy diagrams! It’s about making things work in the real world.Feb 23Feb 23
Key Team Personalities That Reduce Risk in Data ProjectsA high-functioning data team isn’t just about technical skills — it’s about balancing different working styles to reduce risk and drive…Feb 18Feb 18
Risk Management in Data Projects“Risk isn’t an edge case in data projects — it’s a constant”! This is the correct architectural mindset!Feb 15Feb 15
The Architect’s Dilemma: Selecting the Right Data TechnologyPlease allow me to start this article from a personal perspective. When I worked as a data scientist, my world revolved around data science…Feb 9Feb 9
Books I Read in 2024: A Year of Balanced Reading2024 was a busy year, but I still managed to read 8 books! With a tight schedule, I split my reading time: technical books during my…Dec 19, 2024Dec 19, 2024
The Ice Cream Ban: A Weekend StoryIn the sunny beach city of Hypothesia🏖️, drowning accidents were a regular concern. To stay ahead of the problem, the City Council tasked…Dec 13, 2024Dec 13, 2024
Causate: An Initiative to Operationalize Causality with MLflowIn recent months, I’ve been experimenting with integrating MLflow and causal discovery algorithms. My objective? To explore how causal AI…Dec 12, 20243Dec 12, 20243
MLflow and Databricks for CausalOpsIn machine learning, most models are designed to find patterns and make predictions based on correlations in data. But in many real-world…Nov 5, 2024Nov 5, 2024
Making Sense of Databricks Delta ComponentsWhen I first started using Databricks , I remember feeling buried under a pile of “Delta” tools — Delta Lake, Delta Tables, Delta Live…Oct 31, 2024Oct 31, 2024
Scaling Beyond the POC: Understanding the Multi-Faceted Nature of Scalability in Data and ML…As far as I’ve worked on various projects, the common pattern is to start with a small-scale proof of concept (POC) that demonstrates the…Oct 21, 2024Oct 21, 2024
Databricks: A Proxy for Modern Data Platform? Let’s Break It DownIn the world of data, you’ve probably heard this a lot:Sep 3, 2024Sep 3, 2024
I’ve Got a Funny-Looking Conclusion from My Medium Stats — And It Led Me to a Crucial Insight!Following my data itch — my tendency to constantly dig into and analyze data — I recently found myself examining my Medium post stats!Aug 25, 2024Aug 25, 2024