Web Scraping & Customer Data Mining Expert
Do you need customer purchase data from the last year but don’t have it structured or accessible?
I’ve built a custom data extraction tool that solves exactly this problem.
I am a data extraction specialist with hands-on experience in Python, SQL, Excel, and Power BI. I have developed a proprietary tool that can automatically extract customer-level purchasing data for the past 12 months from various sources – including websites, internal databases, PDF reports, or CSV exports.
🔧 What my tool does:
✅ Extracts customer names, IDs, purchase dates, product categories, quantities, unit prices, and total spend
✅ Filters data specifically for the last calendar year or trailing 12 months
✅ Handles messy, inconsistent, or incomplete source data
✅ Outputs clean, structured files in Excel (XLSX), CSV, or JSON
✅ Ready for analysis in Power BI, SQL databases, or Python
📊 What you get (depending on your needs):
Full customer purchase history (last year)
Cleaned and deduplicated dataset
Basic summary statistics (total revenue, top customers, monthly trends)
Optional: Interactive dashboard in Power BI showing purchase patterns, repeat customers, seasonality, etc.
💼 Example use cases:
E‑commerce stores wanting to analyze last year’s customer buying behavior
Retailers migrating to a new CRM or ERP
Marketers preparing customer segmentation for campaigns
Financial analysts needing historical transaction data
🚀 Why choose me?
Proven tool already built – no lengthy R&D or trial/error
Fast turnaround (typically 1–3 days depending on data volume)
Clean, documented data ready for your business insights
I also offer follow‑up analysis: EDA, statistical summaries, and Power BI dashboards
I’ve built a custom data extraction tool that solves exactly this problem.
I am a data extraction specialist with hands-on experience in Python, SQL, Excel, and Power BI. I have developed a proprietary tool that can automatically extract customer-level purchasing data for the past 12 months from various sources – including websites, internal databases, PDF reports, or CSV exports.
🔧 What my tool does:
✅ Extracts customer names, IDs, purchase dates, product categories, quantities, unit prices, and total spend
✅ Filters data specifically for the last calendar year or trailing 12 months
✅ Handles messy, inconsistent, or incomplete source data
✅ Outputs clean, structured files in Excel (XLSX), CSV, or JSON
✅ Ready for analysis in Power BI, SQL databases, or Python
📊 What you get (depending on your needs):
Full customer purchase history (last year)
Cleaned and deduplicated dataset
Basic summary statistics (total revenue, top customers, monthly trends)
Optional: Interactive dashboard in Power BI showing purchase patterns, repeat customers, seasonality, etc.
💼 Example use cases:
E‑commerce stores wanting to analyze last year’s customer buying behavior
Retailers migrating to a new CRM or ERP
Marketers preparing customer segmentation for campaigns
Financial analysts needing historical transaction data
🚀 Why choose me?
Proven tool already built – no lengthy R&D or trial/error
Fast turnaround (typically 1–3 days depending on data volume)
Clean, documented data ready for your business insights
I also offer follow‑up analysis: EDA, statistical summaries, and Power BI dashboards
Skills
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BSNL - Andhra Pradesh (73) · India
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