Writing

Tutorials, newsletters, and essays for people doing the work.

Selected public writing across DataCamp, Substack, and Medium, covering Python, SQL, Excel, statistics, machine learning, data workflows, and responsible AI.

PythonDataCamp

Python Circular Import: Causes, Fixes, and Best Practices

A practical breakdown of circular imports, why they happen, and how to restructure Python code cleanly.

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Machine LearningDataCamp

Linear Regression in Python

A hands-on guide to the core ideas behind linear regression and how to implement them in Python.

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SQLDataCamp

Normalization in SQL

Explains database normalization from 1NF to 5NF with examples for cleaner and more reliable schemas.

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NewsletterSubstack

All About Data & More

A newsletter for aspiring data professionals, covering data analytics, machine learning, SQL, and job-ready workflows.

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ExcelDataCamp

How to Make a Bar Graph in Excel

A beginner-friendly guide to building clear Excel bar charts for reporting and analysis.

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PythonDataCamp

Python Inheritance: Best Practices for Reusable Code

Covers inheritance in Python with examples that make object-oriented programming easier to apply.

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StatisticsDataCamp

Mean vs. Median

A clear explanation of when mean or median better represents a data distribution.

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Machine LearningDataCamp

Normalization vs. Standardization

Compares two common preprocessing techniques and shows when each one is useful.

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PythonDataCamp

Python Garbage Collection

Introduces Python memory management and the key concepts behind garbage collection.

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Data WorkflowsDataCamp

CSV vs. Excel

Breaks down the trade-offs between CSV and Excel for storage, analysis, and collaboration.

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Developer ToolsDataCamp

Understanding GitHub

An introduction to GitHub, version control, and collaboration for technical professionals.

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EssaysMedium

Medium Essays on SQL, ML, and AI Ethics

A public archive of essays on SQL, database design, machine learning basics, energy-grid analytics, and ethical AI.

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Responsible AISubstack

The Ethical AI Guy

Writing on practical AI ethics, model behavior, fairness, and responsible AI for builders and curious readers.

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