Fuzzy Duplicate Detection in PostgreSQL

@glanegonsalves

Hey there Glane here, I can help build a lightweight Python-based duplicate detection solution for PostgreSQL using psycopg2 together with PostgreSQL's pg_trgm extension, fuzzy matching functions, and configurable similarity thresholds. The solution can identify exact and near-duplicate records across text and numeric fields, return grouped duplicate candidates with primary keys, and include clear comments for easy maintenance and extension. I’ll provide a reusable script that allows threshold tuning, supports large datasets efficiently, and leverages AI-assisted development where appropriate to stay within your budget while delivering accurate, practical results.

@ishfaqrahim

PG — I can deliver a PostgreSQL fuzzy duplicate detection solution using **pg_trgm + Levenshtein (fuzzystrmatch)** with adjustable similarity thresholds, returning grouped duplicate records/PKs via a well-commented SQL function or Python (psycopg2) script within your ₹500 budget.

@mobasherreza10

PG As a versatile professional with a specialization in the field of Artificial Intelligence (AI) and Data Analysis, I bring a unique set of skills that make me an excellent fit for your project. In terms of your explicit requirement of implementing a fuzzy-matching approach on PostgreSQL data, my extensive experience and knowledge in utilizing PostgreSQL's pg_trgm extension and fuzzystrmatch functionalities will ensure the most performant and accurate solution. Additionally, I will leverage my expertise in using external libraries to consolidate and enhance the accuracy levels. In addition to my hands-on understanding of different AI tools, such as Levenshtein distance and trigram similarity that you mentioned, I also possess in-depth experience in working with Python scripts that connect seamlessly with PostgreSQL via psycopg2 ─ facilitating an on-demand solution as per your requirements. My SQL programming proficiency will be crucial in producing queries or codes that align perfectly with your dataset to present results meeting your expectations.

@JoseRCarvas

PG - read it end to end. This is squarely my work (Python + PostgreSQL). Plan: pg_trgm trigram similarity (GIN index) to generate near-match candidates fast, then score tighter with fuzzystrmatch's levenshtein on the text fields; numeric fields compared with a tolerance you set. The similarity thresholds sit as variables at the top, so you tweak them without touching the logic. Output: each suspected duplicate group with its primary keys (or full rows if you'd rather). I'll deliver it as a small psycopg2 Python script OR a pure SQL function - whichever you'd prefer to run and maintain - fully commented so you can extend it later. Two quick things so I size it right: roughly how many rows in the table, and which columns should drive the match (e.g. name + address)? Happy to run it on a small sample of your data first so you see the matches before we finalise. Comfortably fits your ~500 INR budget.

@Geetam00

PG101: Fuzzy Matrix Magician - Spotting duplicates within datasets is crucial for data integrity and accuracy. And as a seasoned and accredited PostgreSQL master, I am adept at this exact challenge! For your project, I will design an intelligent script that utilizes PostgreSQL’s pg_trgm extension and fuzzystrmatch to help you precisely detect even the most subtle duplicates. This technique is optimal in your situation since it doesn't bog you down with trivial mismatches. My extensive proficiency as a Python developer further complements this equation. I can construct SQL scripts, functions, or even an efficient Python script backed by psycopg2 to fulfill your specifications of running the solution on demand. My code will be not only powerful and accurate but also meticulously commented for easy comprehension and future adaptations. Considering my long track record of satisfying clients across diverse domains, I'm confident in my ability to strengthen your data analysis game. My price of 500 INR is more than reasonable, reflecting my belief in providing high-quality deliverables at cost-effective prices. Your satisfaction is my priority; so let's team up and validate the solution together before wrapping up the project - I assure you, it'll be flawless!