Clean Customer Data Duplicates

@ShivaniGoyalsai

Hi I have over 15 years of experience in Excel VBA automation and as an expert Hi, I can help clean and de-duplicate your Excel customer workbook with a transparent and repeatable process. I have strong experience in Excel, Power Query, fuzzy matching, and VBA automation for identifying duplicate records based on similar customer names rather than exact text matches. I will carefully consolidate duplicate entries while preserving all important details such as emails, phone numbers, addresses, and notes in the final master record. The solution will be fully editable and designed for future reuse, whether through Power Query fuzzy merge rules or a custom VBA-based process. I can start immediately and deliver an accurate, efficient cleanup solution. Thanks Shivani

@KolmanOuassou

Hi, I am a data analyst/statistician and Economist with more than 6 years of experience. I can do your project, Please take time to check my profile and then you decide to contact me.

@SyedTaha04

Hi there, I am Syed Taha Hussain, and I would love to help you cleanse your customer database. Data cleaning and Power Query are my primary skills. I specialise in using matching to merge non exact duplicates while preserving all underlying contact details. I will build a repeatable Power Query process that identifies similar names and consolidates them into unique master records. This ensures your data remains clean and accurate without the risk of unintended merges. Kindly message me in the chat so we can get started on your workbook.

@see19912023

As an experienced data enthusiast, I have the expertise needed to effectively clean and deduplicate your customer data in your Excel workbook. My proficient skills in Data Processing coupled with my deep-rooted knowledge of Excel and handling complex datasets will ensure that your customer information is accurately organized and merged, without losing any vital details like emails, phone numbers, addresses, or notes. In addressing duplicates, I understand the need for a refined matching approach as the differences may not be glaring. Therefore, I'll employ well-established techniques such as fuzzy lookup, Power Query merge rules, or even develop a custom VBA routine if necessary. Most importantly, I'll document each step taken and explain the logic of the matching process for your future use. I pride myself on maintaining the highest quality standards. Therefore, diligent verification will be carried out to confirm that there are no unintended merges or duplicate entries present in the resultant dataset. With me handling your project, you can expect top-notch deliverables and advantageous insights into any assumptions or edge cases I encounter along the way. Let's get started on making your customer data cleaner and more efficient!

@HaleemBaloch

Hey, I can handle this. I'll review the sheet, identify near-duplicate customer names using fuzzy matching logic, merge the records cleanly, and make sure no data is lost in the process. You'll get: - Cleaned Excel file with one row per customer - A clear explanation of the matching logic so you can reuse it - A summary of any tricky cases and how I handled them Send over the file and I'll get started. Abdul

@shreya0384

I can give u the deliverables with in one day after analysing i have experience in all these of ur interested kindly let me know

@rahulbisht28

Hi, I have 8 year of experience in Excel VBA coding. I will use a combination of fuzzy lookup and VBA code to remove the duplicates in the workbook. My code will remove the duplicates 100% accurately. If you have any questions, please feel free to ask me. thanks

@jishnus26

Hello, I can help clean your Excel customer workbook by identifying and merging duplicate records, including near-duplicates caused by spelling variations, abbreviations, spacing differences, or inconsistent formatting. My approach will be to first review the workbook structure and key fields such as customer name, email, phone, address, and notes. I will standardize names by cleaning case, spaces, punctuation, and common suffixes, then apply fuzzy-matching logic to detect likely duplicate customers. Where possible, I will use supporting fields such as email, phone number, or address to avoid incorrect merges based only on similar names. For consolidation, I will keep one surviving row per customer while preserving all useful details from duplicate rows, including alternate emails, phone numbers, addresses, and notes. Any uncertain matches can be flagged separately for review instead of being merged automatically. Deliverables will include a cleaned Excel file, a brief outline of the matching logic used, and a short summary of assumptions or edge cases. I can also provide a reusable Power Query, VBA, or documented Excel process for future runs. Best regards.

@nayansaha15

As an experienced data professional, I’m well-equipped to tackle the specific challenges of your project. My familiarity with data processing tools like Power Query and custom VBA routines, alongside Excel’s advanced features will allow me to spot and merge duplicate records efficiently. Moreover, my expertise with fuzzy lookup methods ensures that even the records that have slight variations in customer names won’t be overlooked. One of the key deliverables is a transparent and reusable matching logic or steps and I assure you that not only will I provide this outline but it will be easy for you or anyone on your team to understand and replicate in future for consistent data cleanliness. And speaking of consistency, my commitment to error-free work, meeting deadlines, and prioritizing efficiency will ensure that your clean Excel workbook will be delivered to you on time and with 100% accuracy. Data confidentiality is a serious matter, and I understand the need for keeping your customer information secure. You can trust that your data will be handled with the utmost care and remain safe throughout the project. Lastly, all of this comes with an added benefit of customized solutions━whether it's a simple typing job or a complex data organization task━I'm here to offer a tailored solution. Thanks for considering my proposal; I look forward to working with you!