<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects on francisco</title><link>https://frank3040.github.io/projects/</link><description>Recent content in Projects on francisco</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://frank3040.github.io/projects/index.xml" rel="self" type="application/rss+xml"/><item><title>Trupy AI: Chatbot for the Psychological Department of UPY</title><link>https://frank3040.github.io/projects/p3-trupy-ai/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://frank3040.github.io/projects/p3-trupy-ai/</guid><description/></item><item><title>End-to-End ELT Pipeline for a Video Streaming Platform</title><link>https://frank3040.github.io/projects/p2-video-streaming-pipeline/</link><pubDate>Fri, 10 Oct 2025 00:00:00 +0000</pubDate><guid>https://frank3040.github.io/projects/p2-video-streaming-pipeline/</guid><description>&lt;h2 id="table-of-contents"&gt;
 Table of Contents
 &lt;a class="heading-link" href="#table-of-contents"&gt;
 &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;
 &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;
 &lt;/a&gt;
&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="#system-architecture" &gt;System Architecture&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#project-overview" &gt;Project Overview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#data-sources" &gt;Data Sources&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#data-modeling-and-storage-strategy" &gt;Data Modeling and Storage Strategy&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#elt-pipeline-and-orchestration" &gt;ELT Pipeline and Orchestration&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#analytics-dashboard" &gt;Analytics Dashboard&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#how-to-replicate-this-project" &gt;How to Replicate this Project&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#tools-and-technologies" &gt;Tools and Technologies&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="system-architecture"&gt;
 System Architecture
 &lt;a class="heading-link" href="#system-architecture"&gt;
 &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;
 &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;
 &lt;/a&gt;
&lt;/h2&gt;
&lt;p&gt;&lt;img src="https://frank3040.github.io/project_images/p2-streaming/etl-pipeline-diagram.jpg" alt="Project Architecture Diagram"&gt;&lt;/p&gt;
&lt;h3 id="you-can-find-the-code-for-this-project-in"&gt;
 &lt;em&gt;You can find the code for this project in &lt;a href="https://github.com/Frank3040/Video-Streaming-Pipeline.git" class="external-link" target="_blank" rel="noopener"&gt;GitHub&lt;/a&gt;.&lt;/em&gt;
 &lt;a class="heading-link" href="#you-can-find-the-code-for-this-project-in"&gt;
 &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;
 &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;
 &lt;/a&gt;
&lt;/h3&gt;
&lt;h2 id="project-overview"&gt;
 Project Overview
 &lt;a class="heading-link" href="#project-overview"&gt;
 &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;
 &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;
 &lt;/a&gt;
&lt;/h2&gt;
&lt;p&gt;This project implements an &lt;strong&gt;end-to-end ELT pipeline&lt;/strong&gt; designed to analyze the performance of a &lt;strong&gt;video streaming platform&lt;/strong&gt; using synthetic data. The pipeline simulates real-world platform behavior through datasets representing &lt;strong&gt;users, content, and viewing sessions&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>Sales Analytics Dashboard: Istanbul Shopping Malls</title><link>https://frank3040.github.io/projects/p4-istambul-sales-dashboard/</link><pubDate>Fri, 08 Aug 2025 00:00:00 +0000</pubDate><guid>https://frank3040.github.io/projects/p4-istambul-sales-dashboard/</guid><description>&lt;h2 id="project-overview"&gt;
 Project Overview
 &lt;a class="heading-link" href="#project-overview"&gt;
 &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;
 &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;
 &lt;/a&gt;
&lt;/h2&gt;
&lt;p&gt;This was the final project for the Visualization Modeling course. The goal was to perform a complete analysis of a dataset based on business questions and create a dashboard that displays the insights in a clear and concise way. It was decided to use Python for data cleaning and Power BI for data visualization. The dataset contains information about shopping transactions from 10 distinct shopping malls in Istanbul from 2021 to 2023, it is important to mention that both years, 2021 and 2022 are complete, while 2023 is incomplete, only the first two months are available.&lt;/p&gt;</description></item><item><title>Urban Mobility Data Warehouse for NYC Taxi Trips</title><link>https://frank3040.github.io/projects/p1-data-warehousing-gcp/</link><pubDate>Tue, 21 Oct 2025 00:00:00 +0000</pubDate><guid>https://frank3040.github.io/projects/p1-data-warehousing-gcp/</guid><description>&lt;h1 id="table-of-contents"&gt;
 Table of Contents
 &lt;a class="heading-link" href="#table-of-contents"&gt;
 &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;
 &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;
 &lt;/a&gt;
&lt;/h1&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="#project-overview" &gt;Project Overview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#dataset-description" &gt;Dataset Description&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#elt-process" &gt;ELT Process&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#dimensional-modeling" &gt;Dimensional Modeling&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#analysis-and-results" &gt;Analysis and Results&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#technologies-used" &gt;Technologies Used&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="project-overview"&gt;
 Project Overview
 &lt;a class="heading-link" href="#project-overview"&gt;
 &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;
 &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;
 &lt;/a&gt;
&lt;/h2&gt;
&lt;p&gt;This project presents the design and implementation of a Data Warehouse (DW) in Google Cloud Platform (GCP) using BigQuery aimed at analyzing urban mobility patterns using New York City taxi trip data. The primary objective is to support efficient, data-driven decision-making by integrating, transforming, and organizing raw transactional data into a well-structured dimensional model optimized for analytical queries and dashboarding.&lt;/p&gt;</description></item></channel></rss>