<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://955928.github.io/</id><title>Abyss Core</title><subtitle>A space where I document my journey in data analytics, share projects and lessons learned, and explore the tools and techniques I use to turn data into meaningful insights. </subtitle> <updated>2026-08-28T18:41:12+02:00</updated> <author> <name>Djovan CHATHUANT</name> <uri>https://955928.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://955928.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://955928.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 Djovan CHATHUANT </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Olist Project: Part 1: Importing and Understanding the Data with Python</title><link href="https://955928.github.io/posts/Olist_Project_Part1/" rel="alternate" type="text/html" title="Olist Project: Part 1: Importing and Understanding the Data with Python" /><published>2026-08-24T00:00:00+02:00</published> <updated>2026-08-26T14:45:01+02:00</updated> <id>https://955928.github.io/posts/Olist_Project_Part1/</id> <content type="text/html" src="https://955928.github.io/posts/Olist_Project_Part1/" /> <author> <name>Djovan CHATHUANT</name> </author> <category term="Python" /> <summary>Olist Project: Part 1: Importing and Understanding the Data with Python Introduction After completing my first two portfolio projects using Superstore and Northwind, I wanted my third project to focus more heavily on Python and the complete data analysis workflow. For this project, I chose the Brazilian Olist e-commerce dataset. The objective is not simply to analyse an existing dataset. I ...</summary> </entry> <entry><title>From SQL Server to Power BI: Turning Northwind Data into an Interactive Dashboard</title><link href="https://955928.github.io/posts/Northwind_PowerBI/" rel="alternate" type="text/html" title="From SQL Server to Power BI: Turning Northwind Data into an Interactive Dashboard" /><published>2026-08-12T00:00:00+02:00</published> <updated>2026-08-26T14:45:01+02:00</updated> <id>https://955928.github.io/posts/Northwind_PowerBI/</id> <content type="text/html" src="https://955928.github.io/posts/Northwind_PowerBI/" /> <author> <name>Djovan CHATHUANT</name> </author> <category term="Power BI" /> <summary>From SQL Server to Power BI Introduction In the first part of this project, I worked with the Northwind dataset directly in SQL Server. The objective was to understand how a relational database works and progressively develop my SQL skills, starting with basic data retrieval and filtering and moving towards more advanced concepts such as joins, subqueries, CTEs and window functions. Once th...</summary> </entry> <entry><title>Northwind SQL Analysis : From Raw CSV Files to Advanced SQL</title><link href="https://955928.github.io/posts/Northwind_SQL/" rel="alternate" type="text/html" title="Northwind SQL Analysis : From Raw CSV Files to Advanced SQL" /><published>2026-08-07T00:00:00+02:00</published> <updated>2026-08-26T14:45:01+02:00</updated> <id>https://955928.github.io/posts/Northwind_SQL/</id> <content type="text/html" src="https://955928.github.io/posts/Northwind_SQL/" /> <author> <name>Djovan CHATHUANT</name> </author> <category term="SQL" /> <summary>Introduction The first part of this project focuses entirely on the SQL analysis of the Northwind dataset. Unlike my previous Superstore project, the objective here was not to immediately build a dashboard or focus primarily on visualization. Instead, I wanted to understand what happens before the data reaches a visualization tool. The project therefore starts with raw CSV files and follows...</summary> </entry> <entry><title>Power BI Project:Superstore Data Preparation &amp; Modeling</title><link href="https://955928.github.io/posts/Superstore_Cleanse/" rel="alternate" type="text/html" title="Power BI Project:Superstore Data Preparation &amp;amp; Modeling" /><published>2026-07-13T02:00:00+02:00</published> <updated>2026-08-25T23:09:57+02:00</updated> <id>https://955928.github.io/posts/Superstore_Cleanse/</id> <content type="text/html" src="https://955928.github.io/posts/Superstore_Cleanse/" /> <author> <name>Djovan CHATHUANT</name> </author> <category term="Power Query" /> <summary>Introduction Before building any dashboard in Power BI, the foundation has to be solid. A well-structured data model is what separates a report that works from one that actually scales, performs, and gives reliable results. In this post, I walk through everything that happened before the first visual was placed: cleaning the raw Superstore dataset, creating dimension tables, and building the s...</summary> </entry> <entry><title>Power BI Project:Superstore Sales Analysis</title><link href="https://955928.github.io/posts/Superstore/" rel="alternate" type="text/html" title="Power BI Project:Superstore Sales Analysis" /><published>2026-07-07T02:00:00+02:00</published> <updated>2026-08-26T14:45:01+02:00</updated> <id>https://955928.github.io/posts/Superstore/</id> <content type="text/html" src="https://955928.github.io/posts/Superstore/" /> <author> <name>Djovan CHATHUANT</name> </author> <category term="Power BI" /> <summary>##Introduction For this first data project published on my blog, I chose to work with the classic Superstore dataset ,a fictional retail company selling furniture, office supplies, and technology products across multiple regions in the United States. This dataset is widely used in the data analytics community and is a great playground to practice business intelligence techniques. The goal of ...</summary> </entry> </feed>
