🍔 DoorDash Marketing Project

Excel | Exploratory Data Analysis
◾ Real world-marketing campaign data
◾ Using only Excel for analysis and data visualization
◾ Utilized VLOOKUPS, Pivot Tables, Scatter Plots, & Bar Charts
◾ Provided a comprehensive write up to help the marketing team on their next campaign

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🏫 Evaluating School Success with Tableau Project

Tableau | Data Visualization
◾ Created dashboard evaluating 1,800 different schools' performance across 100's of features
◾ Used Scatter Plots, KPI's, Bar Plots, & Area charts to show performance differences
◾ Presented dashboard to stakeholders via recorded video

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💵 Financial Analysis of World Bank Loans

SQL | Exploratory Data Analysis
◾ Data-mined 1.2M real bank transactions to find financial outliers, patterns, & trends
◾ Used SQL clauses such as SELECT, WHERE, FROM, GROUP BY, AVG, MIN/MAX, SUM, AND, etc
◾ Created written report highlighting findings

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🏥 Analysing Hospital Data with SQL

SQL| Exploratory Data Analysis
◾ Analysed what affected hospital stay length in MySQL
◾ Created a histogram using SQL (weird, I know)
◾ Real data from over 101,000 hospital patients

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🏀 Analysing NBA Data with Tableau

Tableau | Dashboarding
◾ Analysed the 2022 NBA season statistics
◾ Created Stacked Bar Charts, Heatmaps, Treemaps & Bubble Charts
◾ Built a Tableau story & shared via written report

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⛏️Analysing Flotation plant Data with Python

Python | Exploratory Data Analysis
◾ Explored real flotation plant data using Python in DeepNote
◾ Visualised time-series trends with line plots, pairplots, and correlation checks
◾ Investigated process anomalies through % Iron, Silica, pH, and Column Level metrics

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📊Analysing IBM Employee Data with R and Statistics

R and Statistics | Exploratory Data Analysis
◾ Explored IBM employee attrition data using R and statistics
◾ Visualised tenure and age trends with boxplots and correlation checks
◾Tested attrition patterns using Welch t-tests and regression models

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💰Exploring Sales and Delivery Trends with Power BI

R and Statistics | Exploratory Data Analysis
◾Analysed regional profit and delivery trends using Power BI
◾ Visualised benefit per order and late delivery rates by region
◾Mapped high-risk areas to guide operational improvements

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