Category
Data Science
Data analysis, visualization, and engineering insights
// 12 articles filed
// FIG. CAT-DATA
PristrenPristrenData analysis, visualization, and engineering insights
// 12 articles filed
Data quality determines model quality. Here is how to measure, test, and automatically enforce data quality across the six core dimensions.
Mahmudul Haque Qudrati
CEO & ML Engineer
Software developers have strong foundations for data science but real skill gaps. Here is the honest path, what to build, and the realistic timeline.
Mahmudul Haque Qudrati
CEO & ML Engineer
EDA is the process of understanding a dataset before modeling. Skip it and your models will fail in ways you cannot explain.
Mahmudul Haque Qudrati
CEO & ML Engineer
Notebooks are powerful for exploration and communication but create maintainability disasters when misused. Here is how to use them correctly.
Mahmudul Haque Qudrati
CEO & ML Engineer
Pandas is the dominant Python library for data manipulation. Here is what every developer needs to know to use it effectively.
Mahmudul Haque Qudrati
CEO & ML Engineer
SQL is the most important data science tool that data scientists often undervalue. Window functions alone replace hundreds of lines of pandas code.
Mahmudul Haque Qudrati
CEO & ML Engineer
The Python data science ecosystem has stabilized. Here is what a working data scientist actually uses, from core libraries to the faster alternatives.
Mahmudul Haque Qudrati
CEO & ML Engineer
The right visualization tool depends on your goal. Here is the complete hierarchy and when to use each chart type.
Mahmudul Haque Qudrati
CEO & ML Engineer
Feature stores solve training-serving skew in ML systems. Here is what they are, how they work, and the honest criteria for whether your team needs one.
Mahmudul Haque Qudrati
CEO & ML Engineer
Data pipelines move data from source to destination reliably. Here is the complete guide to pipeline types, tools, and how to decide what you actually need.
Mahmudul Haque Qudrati
CEO & ML Engineer
Apache Parquet stores columns together instead of rows, enabling 10-100x faster analytics queries and 5-10x better compression than CSV - here is everything you need to know to use it effectively.
Mahmudul Haque Qudrati
CEO & ML Engineer
JupyterLab 4 and VS Code Notebooks both run Jupyter kernels but offer very different experiences - here is a concrete comparison across collaboration, debugging, and GPU server setup.
Mahmudul Haque Qudrati
CEO & ML Engineer
Deep dives into ML algorithms, models, and applications
AI trends, techniques, and real-world implementations
How LLMs work, honest comparisons, and production usage
Every technique that works — with real examples
Claude Code, Cursor, Copilot, open-source tools reviewed honestly
Local LLMs, open models, free AI infrastructure
Fewer tokens, cheaper APIs, local alternatives with real numbers
Benchmarks explained, evaluation frameworks, model testing
LLM SEO, AI SEO, Google AI Overviews, developer marketing
iOS, Android, and cross-platform mobile app development
Modern web technologies, frameworks, and best practices
Autonomous agents, LLM applications, and intelligent systems