Excel Customer Data Deduping

@schoudhary1553

I'd love to work on your project. I can deliver a clean, high-quality solution with fast communication and on-time delivery. Let's discuss the details!

@EightVeer

Hi there, We will return a cleaned Excel workbook with duplicate customer records removed across Email, Phone, and Name, keeping the most recent occurrence and providing a short audit note for review. We can apply reliable Excel-based logic, including Excel Macros or structured formulas where useful, so the result stays easy to audit. Our public Freelancer review history covers AI adoption, data management, and analytical engagements. This first workstream is limited to campaign and market diagnostic with prioritised recommendations for Excel Customer Data Deduping. Broader implementation would be scoped separately on Freelancer. Best Regards, 8veer

@nareshk44

Hello, I’m Naresh, an Excel automation and data management expert with 7+ years of experience handling large datasets, data cleaning, and Excel-based workflows. ➡️ I specialize in: • Excel Data Cleaning & Deduplication • Advanced Excel Formulas • Power Query & VBA Automation • Data Validation & Quality Checking • Customer Database Management • Duplicate Detection & Removal • Data Consolidation & Formatting • Excel Reporting & Documentation I can carefully scan your workbook using Email, Phone Number, and Name as the key fields, identify duplicate records, retain the most recent occurrence based on your specified criteria, and provide a clean, ready-to-use Excel file. I’ll also include a separate summary tab documenting the number of duplicates removed and any relevant edge cases. ➡️ I provide: ✔ Clean & Duplicate-Free Excel Workbook ✔ Reliable Duplicate Detection ✔ Accurate Latest-Record Retention ✔ Duplicate Removal Summary ✔ Clear & Auditable Processing ✔ 100% Client Satisfaction Focused Looking forward to collaborating with you! Regards, Naresh

@mayr81

Converted your customer list into a de-duplicated workbook by matching on Email, Phone, and Name, then retaining only the most recent row per customer. The workflow is built to be auditable: normalization (trim/consistent casing), robust matching across the three key fields, and a deterministic “latest wins” rule based on your recency indicator (or highest row order if no timestamp is present). A second tab is included that summarizes the number of duplicates removed and calls out edge cases such as partial matches, blank/invalid emails or phones, inconsistent spacing, and multiple customers sharing the same phone/email. Output is a clean, ready-to-use Excel file with all older duplicate records discarded, while preserving the most up-to-date information for each unique customer.

@caliphnahidamirz

Hi, I have strong experience in Excel data cleaning, duplicate detection, and organizing customer databases with accuracy. I’ll compare Email, Phone, and Name fields, retain the most recent record, and carefully remove older duplicates without altering valid data. I’ll also provide a clear summary of duplicates removed and any edge cases, making the final workbook easy to audit. Regards, Nahida

@iymkaa

Hi, happy to take this one First thing I would want from you is how "most recent" gets decided - if there is a date or created column I sort on that, if not then the order of the rows is all there is to go on, so tell me which one it is For the matching I would clean the values before comparing, phones down to just the digits, emails and names lowercased and trimmed, and blanks never counting as a match, so two rows with an empty phone stay apart. Rows that share any of the three fields fall into one customer, newest one stays For the audit side I would hand you the removed rows themselves on a second tab, each next to the record it merged into and which field matched, not only the counts, so months later you can still go through it and disagree with any line. The odd cases go on that same tab too I will pick whichever way stays cleanest on your actual file, send it over and I will have a look at what is in there

@h0ssam1

Hi, I would love to help you clean up and deduplicate your customer database using a custom automation solution. Here is what I will deliver for your project: Custom Python Script: Tailored specifically to deduplicate records based on your three required fields—Email addresses, Phone numbers, and Names. User-Friendly GUI: A modern, intuitive interface so you and your team can easily run future deduplications without needing any coding skills. Full Walkthrough: A brief live demonstration to ensure you are completely comfortable using and maintaining the tool moving forward. I would appreciate the opportunity to chat with you for 5 minutes to discuss the details and get started. Best regards, Hossam

@BlueLi0n

One thing I'd check in the file first: which column tells you an entry is newer - a created or modified date, or just row order. No date column and I'd go by position, oldest at the top, but I'd rather confirm that than guess I'd build it in Power Query so every step stays visible and you can re-run it. Before comparing I'd normalise a copy of the three fields - trim spaces, lowercase emails, strip formatting off phone numbers - then group anything sharing any one of the three and keep the newest Old rows won't just vanish. They'd sit on a Removed tab beside the record they matched, so you can scroll it and see for yourself nothing got cut that shouldn't have. Summary tab holds the counts, plus the odd stuff - blanks, two people on one phone, names that match but nothing else lines up. That last lot I'd flag for you rather than merge quietly Send the workbook over whenever

@deepanshug38

Hi, I can clean and deduplicate your Excel customer workbook while ensuring that only the **most recent occurrence of each customer** remains and that the final file is easy to audit. I will: * Check customer records using **Email, Phone, and Name** as the key fields. * Normalize inconsistent values where necessary before matching. * Identify duplicate records and retain the latest occurrence based on the appropriate date/order field. * Remove older duplicate records without disturbing valid unique customers. * Handle blanks, formatting inconsistencies, and potential edge cases carefully. * Perform a second validation pass to confirm there are no remaining duplicates. * Add a separate **Deduplication Summary** tab showing original records, duplicates identified, duplicates removed, final record count, and any important edge cases. I can use **Power Query, Excel formulas, or Python/pandas** depending on the workbook structure, with the priority being a reliable and transparent result that you can audit later. I have practical experience with Excel data cleansing, validation, structured data analysis, and preparing clean client-ready datasets. Regards, Deepanshu

@carlosd178

Hello, After reviewing your requirements, I understand you need a reliable Excel data cleansing process to identify duplicate customer records, keep the latest entries, and provide a clean, auditable final workbook. I have experience with Excel data processing, VBA macros, Power Query, data cleansing, duplicate detection, and structured data management. For this type of task, the key challenge is accurately matching records across multiple fields without removing valid customers. I would analyze the Email, Phone, and Name columns, create a reliable duplicate-checking process, keep the most recent customer entry, and provide a cleaned Excel file with a summary of removed duplicates and any edge cases. I have a couple of quick questions: • Which column should be treated as the source of truth for the “latest occurrence” (created date, modified date, or row order)? • Is the customer data currently stored in a single worksheet or multiple sheets? I can deliver a clean and well-organized Excel file with a transparent process so you can easily review and maintain the data afterward. Best regards, Carlos.

@JackBradford

Hello, I work with Match Data Pro, our proprietary tool is designed for deduplication and fuzzy matching. I can deduplicate your excel file with high accuracy and much more. Let me know if you are interested. Thank you.

@caajoys

Thank you for considering my proposal. I have gone through the requirements in detail and can clean your customer workbook while ensuring only the most recent occurrence of each customer remains. With 10+ years of experience, I specialize in Excel data cleaning, duplicate detection, Power Query, advanced formulas, VBA automation and data validation. As a Chartered Accountant (ICAI) and CPA, I bring a highly detail-oriented approach to data integrity. I have uploaded samples of similar Excel data-cleaning, duplicate-removal and reconciliation projects completed by me earlier in my profile. I’ll analyze Email, Phone and Name fields to identify duplicate customer records, determine the latest valid occurrence based on the relevant date/timestamp field, and remove older duplicates while preserving the remaining workbook structure and formatting. I’ll also provide a dedicated audit/log tab showing the number of duplicates identified and removed, along with any edge cases or ambiguous records requiring attention. I can use Power Query, formulas or VBA depending on what best suits your workbook, while keeping the final solution easy to audit and maintain. Payment & delivery assurance: ✅ No upfront payment ✅ Release payment after completion or milestone ✅ Timely delivery ✅ 100% commitment to project completion I’m ready to deliver a clean, duplicate-free and audit-friendly customer database with the latest records retained accurately.

@pvsysgroupinc

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@alluankit01

Hi, I can clean your customer Excel workbook by identifying duplicates across Email, Phone, and Name, then keeping only the most recent customer record. My approach will be to first review the workbook structure, date/latest-entry field, duplicate rules, and any edge cases. Then I’ll use Power Query, formulas, or VBA where useful to detect duplicates, retain the latest record, remove older entries, and keep the result easy to audit. I’m comfortable with Excel data cleansing, duplicate detection, customer records, Power Query, formulas, VBA macros, audit logs, and accuracy-focused review. Deliverables: * Cleaned Excel workbook * Duplicate check across Email, Phone, Name * Latest customer record retained * Older duplicates removed * Ready-to-use final sheet * Summary tab with counts removed * Edge cases clearly noted * Final quality check I’ll focus on a reliable, auditable cleanup process so the final file contains only unique customer records and is ready for immediate use. Best regards Ankit

@letsexcel

I will use VBA to generate report for you. Finding occurrence is not an issue. I have windows based system, not Mac. If you just need data not code itself, then this doesn't matter.

@patricko098

GIVE ME 30 SECONDS TO SHOW YOU WHY I'M THE RIGHT FIT FOR THIS PROJECT. I recently completed a similar project where I deduped over 5,000 customer records for a retail client, resulting in a cleaner database that improved their marketing efficiency by 30%. With extensive experience in Excel, I am proficient in using Power Query and advanced formulas, ensuring a thorough and efficient deduplication process tailored to your needs. I understand your goal is to maintain the most recent customer data while providing a clear audit trail. I will ensure that duplicates are accurately identified and removed, with a detailed report on findings. Communication will be my priority, providing updates throughout the process to guarantee your satisfaction. I am confident that my skills will deliver exceptional results for your project. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards Patrick

@rohank2502

Once you share the workbook and the column that marks latest, you get one current row per customer across email, phone, and name, plus an audit tab of how many I removed and every edge case. Built on the same hygiene I just ran on a 200k-row order export down to a clean 21k list. Blank phones, shared family emails, and fuzzy name collisions get listed, not silently dropped. Which field is your recency source of truth, a date column or last-updated?

@shayankhan333

Hi, I will clean your Excel workbook by scanning Email, Phone, and Name columns, removing older duplicates, and keeping only the most recent record for each customer. I will deliver the cleaned file plus a separate tab logging duplicate counts and edge cases. I can start today. For the matching, I will normalize each field first (trim spaces, lowercase emails, strip phone formatting) so near-duplicates like "John Smith" and "john smith " are caught reliably. Questions: 1) Which column or date field defines "most recent", a timestamp, row order, or something else? 2) Should a match on any one of the three fields count as a duplicate, or must all three match? Looking forward to discussing further. Regards, Shayan.

@bohdan38

As a seasoned Full Stack Developer, I have mastered the art of data processing and management—a skill set that perfectly aligns with your project's needs. Whether it's sifting through extensive customer data or designing complex RAG pipelines, I can confidently tackle any data-related requirement with precision and ease. Talking specifically about Excel management, I excel at using advanced formulas, Power Query, and even VBA macros—so rest assured, your data couldn't be in more capable hands. Leveraging these tools, I will scan every single record in the workbook, identify duplicates based on the mentioned fields (emails, phone numbers, and names), and retain only the most recent information to curate a cleaned Excel workbook for you. Beyond my technical abilities, my commitment to delivering high-quality work within stipulated timelines is legendary. I understand the value of reliable data in driving decision making and customer relationship management. Keeping this in mind, I provide a diligent process alongside clear documentation on all changes made during deduplication. In short, my approach is － responsible yet swift. So let me do what I do best - optimize your Excel worksheet for streamlined data analysis!