<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Immy'sPortfolioWebsite]]></title><description><![CDATA[Immy'sPortfolio]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/home</link><generator>RSS for Node</generator><lastBuildDate>Mon, 08 Jun 2026 13:58:29 GMT</lastBuildDate><atom:link href="https://nalwogaimmaculate3.wixsite.com/immy-1/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[US Debt Tracker – Forecasting America’s Fiscal Future]]></title><description><![CDATA[Excel-based analysis of historical and projected U.S. public debt Link : US Debt Tracker.xlsx Overview: This project analyzes U.S. Debt trends using Excel. I cleaned and modeled historical data, calculated yearly percentage increases, and projected future debt levels through 2028. The goal was to uncover patterns and visualize fiscal shifts over time.   Objectives Analyze yearly debt percentage increases Identify consistently growing debt sources Forecast public debt for the next decade Tools...]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/post/__dvd</link><guid isPermaLink="false">690b4ccd4cb1a91e8e5b0a1b</guid><pubDate>Wed, 05 Nov 2025 13:10:41 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/96f574_c3596f4bae5c432084ca231996221934~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>nalwogaimmaculate3</dc:creator></item><item><title><![CDATA[️ UFood Data Analysis Project]]></title><description><![CDATA[Project Type: Personal Project Tools Used: Python, pandas, seaborn, matplotlib Link to Code; nalwogaimmaculate36-maker/UFood-Data-Analysis: Exploratory data analysis of food delivery trends using Pandas Overview: Exploratory analysis of customer behavior for Brazil's leading food delivery app, built as part of the Analyst Builder case study.  What I did:  Cleaned and transformed customer data using Python and pandas Engineered features like household size, education, marital status, and...]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/post/ufood-data-analysis-project</link><guid isPermaLink="false">68fb3022be1c9042a1178b03</guid><pubDate>Fri, 24 Oct 2025 09:57:14 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/96f574_4e95b2848e5d4d3ba19b38b2aa936b35~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>nalwogaimmaculate3</dc:creator></item><item><title><![CDATA[IT Monthly KPI Dashboard - Personal Project]]></title><description><![CDATA[In this dashboard we are building visualizations for our IT department on key KPI Metrics. Link to Dashboard: KPI Call Center Agent Performance Monthly Dashboard | Tableau Public Overview: Total Calls Handled: Measures agent workload and call volume trends Resolution Rates by Agents Resolved Calls by Agents Speed of Answer Average Handling Time (AHT): Assesses operational efficiency and time management. Inbound Calls Today Average Call Volume by Day: Identifies which days of the week...]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/post/it-monthly-kpi-dashboard</link><guid isPermaLink="false">68c6111e87c099ed06ab7466</guid><pubDate>Sun, 14 Sep 2025 00:52:52 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/96f574_b36bd1a8b0e441e8b5fbbbe8284e2593~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>nalwogaimmaculate3</dc:creator></item><item><title><![CDATA[US Household Income Project]]></title><description><![CDATA[Project Type: Personal Project Tools Used: MySQL, Stored Procedures, Joins, Aggregations, Data Cleaning Techniques. Link to Code: https://github.com/nalwogaimmaculate36-maker/Immy-s-Portfolio/blob/main/US%20Household%20Income%20Data%20Cleaning%20Project.sql Overview:  In this project we walk through the process of a full data workflow using SQL — from cleaning the raw data to uncovering insights and building an automated cleaning system. The dataset contains U.S. household income information...]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/post/us-household-data-cleaning-project</link><guid isPermaLink="false">68c60e4932130c4436397ca1</guid><pubDate>Sun, 14 Sep 2025 00:39:40 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/96f574_63bbad439cd04ace9330e90fe88064de~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>nalwogaimmaculate3</dc:creator></item><item><title><![CDATA[NYC Parks &#38; Urban Ecology — QGIS Spatial Analysis Project]]></title><description><![CDATA[Geospatial analysis of NYC parks in QGIS, using Central Park as a focal point to demonstrate applied spatial reasoning for MEL and urban planning insights Project Overview This project explores urban environmental patterns in New York City QGIS. It integrates multiple spatial datasets — including tree census, park properties, squirrel sightings, and playground locations — to visualize ecological distribution and perform spatial queries. The goal was to analyze biodiversity and tree...]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/post/nyc-parks-urban-ecology-qgis-spatial-analysis-project-1</link><guid isPermaLink="false">6949dd783167c574f9b8221c</guid><pubDate>Tue, 23 Dec 2025 00:33:56 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/96f574_d061389f31724dbe9b02efe684d66940~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>nalwogaimmaculate3</dc:creator></item><item><title><![CDATA[HR Analytics Dashboard built Power BI ]]></title><description><![CDATA[HR Analytics Dashboard built in Power BI to explore workforce attrition trends and support HR decision-making. Project Overview This HR Analytics Dashboard analyzes employee attrition patterns across demographics, job roles, salary bands, and tenure. The goal of the project was to build a clean, interactive dashboard that helps HR teams understand why employees leave and where strategic interventions are needed. This project demonstrates my skills in: Power Query data cleaning DAX measure...]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/post/hr-analytics-dashboard-built-power-bi</link><guid isPermaLink="false">6949d9bbadc391625af81957</guid><pubDate>Mon, 22 Dec 2025 23:53:19 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/96f574_7fea3df328a3447eb811a41f918f92d7~mv2.jpg/v1/fit/w_1000,h_951,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>nalwogaimmaculate3</dc:creator></item><item><title><![CDATA[Tesla EV Market Dashboard - Washington State]]></title><description><![CDATA[Toolset: R (tidyverse, dplyr, ggplot2, flexdasboard) RPubs - Tesla Presentation in Washington Overview This project explores Tesla's market share and performance across Washington State using public EV registration data. Built in R with Flexdashboard, it delivers executivr-ready insights through interactive charts and curated summaries. What I Did Cleaned and filtered large datsets using dplyr and tidyverse Visualized Tesla's market share, top models, and utility distribution using ggplot2...]]></description><link>https://nalwogaimmaculate3.wixsite.com/immy-1/post/tesla-ev-market-dashboard-washington-state</link><guid isPermaLink="false">691e2e214380ae0a5088738e</guid><pubDate>Wed, 19 Nov 2025 21:33:50 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/96f574_4d9b3c545a864266aad2d1bfdd6687e7~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>nalwogaimmaculate3</dc:creator></item></channel></rss>