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Exploratory Data Analysis using Descriptive Statistics
An end-to-end data analysis project focused on summarizing complex datasets through descriptive statistical methods. Covered key metrics like central tendency, variability, and visual distribution modeling to extract clear, high-level business trends and baseline performance metrics.
Deliverables: Cleaned dataset, statistical summary report, and key insight visualizations.
The network for creativity
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🚀 My First AI Automation Project with n8n
I recently built my first automation project — an AI-Powered Invoice Extraction & Tracking System.
The problem I wanted to solve was simple:
Imagine a business receiving dozens of invoices or cash memos every week. Someone has to open each file, read the information, and manually enter the vendor name, date, items, total amount, and category into a spreadsheet.
That’s repetitive, time-consuming, and easy to get wrong.
So I built a workflow where:
📂 An invoice is uploaded to Google Drive
→ 🤖 Gemini AI reads and extracts the invoice data
→ ⚙️ n8n processes and validates the information
→ 📊 The data is automatically added to Google Sheets
The best part?
No manual data entry. Just upload the invoice and the rest happens automatically.
While building it, I also worked with things like workflow triggers, loop control, API errors/retries, and handling multiple files.
For me, this project was less about simply “building an n8n workflow” and more about learning how AI + automation + data workflows can solve real business problems.
This is just my first step into AI automation, and I’m excited to build more practical systems like this.
If your business has a repetitive process that could be automated with AI, n8n, or data workflows, feel free to DM me. I’d be happy to discuss it.
#AIAutomation #n8n #Automation #ArtificialIntelligence #DataAnalytics #DataAnalyst #WorkflowAutomation #GenerativeAI #BusinessAutomation #AI
Smart pipeline! Have you added strict JSON schema validation after Gemini extracts the invoice fields? Found that it stops edge case hallucinations before the data ever hits Sheets.
Title:
Youth Skills Training Programme — Excel M&E Dashboard
Excel-based M&E analysis project covering data cleaning, formulas, PivotTables, charts and dashboard development.
Full Description:
Analysed a simulated youth training dataset using Excel to clean, structure and interpret programme data. Built PivotTables, charts, KPI summaries and an interactive monitoring dashboard to present attendance and assessment performance.
Stock Market Analysis & Insights Dashboard
An interactive stock market analysis platform for exploring market data, trends, and investment insights.
I developed an interactive stock market analysis web application that transforms financial market data into understandable insights through data analysis and visualization.
The platform enables users to explore stock performance, historical trends, market movements, and analytical indicators through an intuitive dashboard.
Key highlights:
Historical stock price analysis
Interactive charts and visualizations
Market trend analysis
Performance comparison
Data-driven insights
User-friendly dashboard experience
Automated data analysis workflow
Tech Stack: Python, Pandas, NumPy, Matplotlib/Plotly, Data Analysis, HTML, CSS, JavaScript
