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The main purpose of this project was to develop a matching algorithm in python to fuzzy classify people from a customer list as positive or negative based on a messy positive and negative database with a confidence score.
ABAP Did You Mean is a package for finding similar words or suggestions from a dictionary, inspired by "Did you mean?" functionality. It leverages distance and similarity algorithms for accurate suggestions.
End-to-end B2B payments reconciliation bot built with n8n. Automates matching of bank transactions against ERP payables using fuzzy name matching (Jaro-Winkler) and amount-tolerance rules. Classifies transactions as matched, pending, discrepant, or unmatched. Logs summaries to Google Sheets. Optional AI classification via Claude.
Data Linkage project. Questo progetto combina tecniche di data linkage e web scraping per identificare differenze di prezzo tra soggiorni nei i siti web booking e agoda.
Blazing-fast string similarity library written in Rust with Python bindings. Covers edit distance, fuzzy matching, set-based, alignment, and vector algorithms