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Duplicate Removal & Data Standardization
Sample demonstration project focused on identifying duplicate records and standardizing inconsistent Excel data. I reviewed repeated entries, standardized names, dates, phone numbers, and numeric formats, and flagged uncertain records for manual review instead of deleting them automatically. The original source data was preserved and all changes were made on a separate working copy.
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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Excel Data Cleaning – Before & After
Sample demonstration project showing how I clean and standardize messy Excel and CSV data. I corrected inconsistent formats, standardized dates, numbers, and text, removed duplicates, organized rows and columns, and flagged unclear values for review. The original source file was preserved and all work was performed on a separate copy.
Checkout Research: Why Customers Abandon Cart, and What It Takes to Keep Them
Officeworks' desktop checkout converted above industry standard, but mobile conversion lagged and checkout took over 4x longer than the 1-minute benchmark customers expect. I led a mixed-methods research programme, an audit spanning 6 methods, 613 NPS responses, and 10 user interviews, to find out why.
The research surfaced three connected stories: customers need to feel confident before they can be efficient, cart abandonment has specific and fixable causes (hidden charges, security doubts, and slow load times ranked highest), and Officeworks' mobile checkout was underperforming its own desktop experience.
I translated these findings into 6 prioritized recommendations, including surfacing total cost upfront, making the mini cart editable, and redesigning for adaptive mobile checkout, directly shaping the roadmap for Officeworks' checkout redesign.
