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datamachia/README.md

Hello My name is Mel

Data Analyst | Journalist | Cycling Enthusiast

About Me

I am an aspiring data analyst who loves diving into complex datasets to extract meaningful insights. After spending over 15 years as a professional journalist, including four years dedicated to fact-checking, I decided to embrace my passion for data analysis, embarking on a full-time 12-week Data Analytics bootcamp, where I got the technical skills and hands-on experience needed to achieve my dream of transitioning into a data analysis career. I am excited to use this space to showcase some of my projects and share my experiences.

  • 🌍 Location: London Area, United Kingdom

  • 🧠 Technical Skills:

    . Access
    . Azure Data Fundamentals (DP900)
    . Excel
    . Google Analytics
    . Looker Studio
    . Power BI
    . Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly)
    . R
    . SQL
    . Tableau

  • 🖥️ See my portfolio at Datamachia

  • 🤝 Collaboration: I’m open to collaborating on different projects, so feel free to reach out

  • 📈 Projects: Check out some of my recent works below

Pizza World Sales Report

Technologies Used: SQL and Power BI
Description: This project uses SQL Server Management Studio (SSMS) for KPI calculations and Power BI for creating an interactive dashboard with DAX formulas, providing actionable insights into sales performance.

Car Sales Dashboard

Technologies Used: Power BI
Description: This project is a comprehensive dashboard developed using Power BI, showcasing the effective use of DAX formulas to calculate vital KPIs, providing a complete analysis of sales performance.

Hollywood's Most Profitable Films

Technologies Used: R and Power BI
Description: This project leverages R and Power BI to clean, analyse and visualise insights and key metrics from Hollywood's most profitable films from 2007 to 2011.

Flight Delays EDA

Technologies Used: Python (Pandas, Matplotlib and Seaborn)
Description: This project analyses US flight delays and cancellations from July 2019 to July 2022 using Python, Pandas, Matplotlib and Seaborn.

The Wealth of Nations

Technologies Used: Excel and Tableau
Description: This project uses Excel for data cleaning and initial analysis, and Tableau for creating an interactive dashboard that explores the relationships between the top 20 countries in terms of GDP per person, life expectancy and smartphone users.

Bike Sales Dashboard

Technologies Used: Tableau
Description: Created using Tableau, this project provides key business insights from a global dataset of sales records. It features detailed analyses of sales performance, trends, customer demographics and revenue metrics.

Popular repositories Loading

  1. datamachia datamachia Public

    Config files for my GitHub profile.

  2. pizzaworld pizzaworld Public

    This project uses SQL Server Management Studio (SSMS) for KPI calculations and Power BI for creating an interactive dashboard with DAX formulas, providing actionable insights into sales performance.

  3. carsalesdashboard carsalesdashboard Public

    This project is a comprehensive dashboard developed using Power BI, showcasing the effective use of DAX formulas to calculate vital KPIs, providing a complete analysis of sales performance.

  4. mostprofitablefilms mostprofitablefilms Public

    This project leverages R and Power BI to clean, analyse and visualise insights and key metrics from Hollywood's most profitable films from 2007 to 2011.

  5. flightdelayseda flightdelayseda Public

    This project analyses US flight delays and cancellations from July 2019 to July 2022 using Python, Pandas, Matplotlib and Seaborn.

    Jupyter Notebook

  6. thewealthofnations thewealthofnations Public

    This project uses Excel for data cleaning and initial analysis, and Tableau for creating an interactive dashboard that explores the relationships between the top 20 countries in terms of GDP per pe…