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aisosapatricka/README.md

Hey, I'm Patrick 👋📊

Turning messy raw data into clean, clear insight 🧹➡️✨

Typing SVG


🙋‍♂️ About Me

🚀 I'm a Data Analyst passionate about turning raw data into meaningful insights, powerful visualisations and clear business stories.

I enjoy working with data from collection and cleaning through to analysis, visualisation and reporting. My focus is on making data easier to understand and using insights to support better decision-making.

  • 📍 England, 🇬🇧
  • 🔍 I love the moment a messy spreadsheet finally starts making sense
  • 🏃 When I'm not wrangling data, I'm training for my next 10k 🏅

🔄 My Data Journey

📥 RAW DATA          🧹 CLEAN & SHAPE           📊 ANALYSE            🎯 INSIGHT
   messy,      ──▶     SQL joins,        ──▶    dashboards,   ──▶    clear story,
 duplicates,           Power Query,             DAX, trends           real decisions
 missing bits          Pandas, Excel

Every project starts the same way: a messy file nobody wants to touch 😅 — and ends with something a real person can actually use to make a decision. That's the bit I enjoy most.


📈 Featured Projects

Project The Mess I Started With 🗂️ What Came Out the Other End ✨ Tools
🌍 Global Health Insights Raw health stats across 190+ countries & decades Interactive dashboard on life expectancy, BMI & risk trends Tableau
🎵 Spotify Music Trends 200k+ tracks, 15 audio features, zero structure Genre & popularity trends to guide playlist decisions Tableau
🚲 Bike Sales Analysis Unsorted sales records across markets Pivot table revealing top customer segments by country & age Excel
📈 Sales Analysis Report Flat sales data, no context Interactive Power BI report with DAX measures & visuals Power BI
💼 Employment Dashboard Raw employment figures Clean Tableau dashboard tracking trends over time Tableau

🔧 Skills & Tools

💡 What I bring: confident SQL querying · clean, reliable data pipelines (goodbye duplicates 👋) · DAX & Power Query mastery · dashboards people actually want to use · a sharp eye for the pattern hiding in the noise · explaining it all in plain English, to any audience



🧠 MY DATA ANALYSIS SKILLS

SQL — joins, aggregations, subqueries, writing & debugging queries ██████████████████░░ Strong 💪

Power BI — DAX, Power Query, M language, dashboard & report building ██████████████████░░ Strong 💪

Excel — PivotTables, VLOOKUP, SUMIFS/COUNTIFS, Power Query, advanced formulas ███████████████████░ Advanced 🚀

Python (Pandas, Matplotlib, Seaborn) — data cleaning, analysis, charting ████████████████░░░░ Strong 💪

Tableau — worksheets, dashboards, filters, calculated fields ██████████████████░░ Strong 💪

Data cleaning & database design — primary/foreign keys, relational structures ███████████████████░ Advanced 🚀

Data storytelling & stakeholder communication — turning numbers into a clear narrative ███████████████████░ Advanced 🚀


📋 Project Management Bootcamp

Before data, I completed a Project Manager Bootcamp with Tritek Consulting Limited — hands-on training that built the planning, delivery and stakeholder skills I now bring into data work.

🎯 What I learned & delivered:

🔄 Agile & Waterfall (Wagile) — applied both methodologies on live project work

📌 Jira — tracked tasks, sprints and progress throughout the project lifecycle

🖊️ Balsamiq — built wireframes and mockups to support requirements gathering

🗺️ Draw.io / Lucidchart / BPMN.io — mapped process flows and diagrams

🧩 Miro — ran visual planning and team collaboration sessions

🤝 Stakeholder management — liaised directly with stakeholders to manage expectations and keep them updated on progress

👥 Led a team of 25 — stepped up into Project Lead, PM and business analyst duties when team members dropped out, keeping the project on track

✅ Delivered on time — despite reduced team capacity, the project was completed to schedule

💪 Skill level:

███████████████████░ Agile & Waterfall delivery — Advanced 🚀

██████████████████░░ Stakeholder management — Strong 💪

██████████████████░░ Team leadership — Strong 💪

███████████████████░ Requirements gathering & documentation — Advanced 🚀


💡 This bootcamp is where my interest in data really started — tracking sprint progress and reporting to stakeholders made me want to understand the data behind the decisions, which led straight into my Data Technician training.


🗓️ How I Got Here

🏨 Hospitality  ──▶  🩺 Care & Support Work  ──▶  📋 Project Manager Bootcamp
      ──▶  📊 Data Technician Bootcamp  ──▶  🎯 Data Analyst (next chapter)

Every step taught me something the last one didn't — care work gave me patience and an eye for detail, project management gave me structure and stakeholder skills, and data training gave me the tools to bring it all together.


🤝 Let's Connect

📌 Open to Data Analyst opportunities

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  1. My-Power-BI-Projects My-Power-BI-Projects Public

    Interactive Power BI reports on retail & sales data — Power Query, DAX, and published live dashboards.

  2. My-Tableau-and-Power-BI_repo My-Tableau-and-Power-BI_repo Public

    Tableau dashboards on global health, Spotify trends, and employment data.

  3. Myexcel_repo Myexcel_repo Public

    Excel project analysing retail, student, and bike sales data using PivotTables, SWITCH, VLOOKUP & PivotCharts.

  4. MySQL_repo MySQL_repo Public

    SQL analysis of Primark-style retail data — SELECT, WHERE, JOINs, GROUP BY, and database design.