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Turned 100+ pieces of certification evidence into one audit-ready framework that made compliance easier to prove, maintain, and repeat.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Welcome! Are you looking to turn messy data into clear, actionable insights? You're in the right place.
As a professional data analyst, I specialize in transforming raw data into clean, structured, and visually compelling dashboards that help businesses make smarter decisions.
What I Offer:
• Data Cleaning & Preparation (Handling missing values, removing duplicates, formatting)
• Exploratory Data Analysis (EDA) to find key trends and patterns
• Interactive Dashboards & Reports (Power BI/ Excel)
• Custom DAX / SQL queries for deep metric tracking
• Professional summary report with key business insights
Tools I Use:
• Power BI
• Python & SQL
• Advanced Excel & Google Sheets
Why Choose Me?
• High-quality, clean design with user-friendly layouts
• Fast turnaround time and clear communication
• 100% satisfaction guarantee
Let's unlock the story behind your data! Please contact me before placing an order so we can discuss your specific project goals.
I support proposal quality & compliance review
Supply Chain Data Cleaning - Supplier Inventory Fix
Project: Cleaned messy supplier file with 532 rows for a small business.
BEFORE: Data had duplicates, inconsistent names (safaricom LTD vs SAFARICOM LTD), missing quantities, NULL prices, extra spaces.
WHAT I DID:
✓ Removed 47 duplicate rows using Remove Duplicates
✓ Standardized 112 supplier names with TRIM & PROPER
✓ Fixed stock quantities: blank -> 0, "10 pcs" -> 10
✓ Cleaned price column: NULL removed, spaces trimmed
✓ Used VLOOKUP to add product categories
AFTER: 99.2% clean, ready for PivotTable reporting.
RESULT: Client saved 6 hours, now has accurate stock levels for reordering.
Tools: Excel, Google Sheets, VLOOKUP, PivotTable, Data Validation
Timeline: 24 hours delivery
