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Project Title: Cleaning & Assigning Data to Corresponding Mexican Municipality Project Description: I have an extract from an administrative database on Mexican migrants that includes, among others, individuals’ municipality of birth. The data was entered manually, and oftentimes, officials either spelled the municipality name wrong or entered the birth locality instead. The data will be used in a research project on migration flows between Mexico…

Project Title: Football Club Supporters’ Email Appending Project Description: We are a football club and to us supporters data is the key to our commercial goals. Due to the size, nature and various collection methods of information not all supporter records are as the club would like. One of the key missing elements for the data being email address, could this be rectified? Any records…

Project Title: Database Cleansing through Data Segmentation Process Project Description: We are in a need to identify and manage duplicates which exists within our supporter database. Our database consists of multi-million records. Please note that duplicates are not the issue; a far deeper problem existed in relation to data suppression – movers, goneaways and deceased. Due to the extremely high number of data suppression within…

Project Title: Sales Manager Database Cleaning Project Description: We are maintaining a database that consists records of Sales Manager. The database is quite messy & unclean and thus, we need to cleanse the database. We want that the details of each sales manager be cleansed, standardized, verified and validated against all the reliable sources of information. You have to identify the repeated entries, match, merge…

Project Title: Cleaning & Updating Customer Records Project Description: With the rise of undelivered emails, duplicate mail deliveries and failure to reach customers by phone, we have decided to clean & update our customer records. We want you to cleanse, verify and validate the contact details of more than 95,000 users which includes rectifying spelling errors, DE-duplicating the data and conducting intense Google search to…