Excel Data Deduplication & Report

@citijayamala

1. I am an expert in Excel, Excel formulas, and all excel functions, macros, lookup, pivot tables and charts. I read your project description and I am sure that I can handle your project. 2. Have done many projects in Excel, created many dashboards, and Business intelligence tool for forex markets. Experienced MBA Finance as well. 3. Your project will be delivered on time with high standard 4. Assistance will be provided with number of clarifications until client satisfaction

@ashiruddin

I have read your requirement, I can analyse data in Power BI, Google Studio & Excel Power Query data source from MS SQL Server , MySQL & ORACLE, Excel , I am specialize in database design, analysis, report generation. Please chat

@anthobio23

Hi there! I can deliver this in less than 24 hours. For "Excel Data Deduplication & Report", my approach: - Clean Python solution (pandas, numpy) - structured code - Fast turnaround - results tomorrow - Delivery in the format you need Real experience: data analysis, automation and Python development. Ready to start today. Best regards, Anthony

@alluankit01

Hi, I can clean your Excel/CSV datasets by identifying duplicates, removing them safely, validating the remaining records, and preparing a clear cleanup report with a full audit trail. My approach will be to first review the source files, key matching fields, duplicate rules, and any validation criteria. Then I’ll use Excel Power Query or Python pandas, depending on file size, to detect exact and likely duplicates, clean obvious data-entry issues, and document every rule applied. I’m comfortable with Excel, CSV cleanup, Power Query, Python pandas, deduplication, data validation, audit reports, and compliance-friendly documentation. Deliverables: * Cleaned Excel/CSV dataset * Duplicate records removed * Obvious data-entry issues fixed * Validation checks completed * Cleanup rules documented * Number of affected records reported * Assumptions clearly noted * Final quality review Preferred approach: Power Query for Excel-friendly refreshable cleanup, or Python pandas for larger datasets. Estimated turnaround: 1–2 days after receiving the files, depending on dataset size and duplicate complexity. Best regards Ankit

@robertb297

I understand you need several Excel/CSV files thoroughly cleaned, with duplicates removed, data-entry issues corrected, and every change documented in a clear audit trail. The key here is not simply deleting duplicate rows—it’s applying consistent validation rules so legitimate records aren’t accidentally removed, while giving you a reliable before/after record of what changed. I have hands-on experience with Excel, Power Query, Python (Pandas), and data validation workflows, and I can structure the cleanup process to handle multiple files efficiently while preserving the integrity of the original data. My approach would be to: Identify exact and potential duplicates using appropriate matching rules. Standardize obvious inconsistencies and validate remaining records. Document affected records, cleanup rules, assumptions, and final counts. One important question: should duplicates be identified only by exact row matches, or should I also check key fields for near-duplicates? Also, do you have any fields that must always be treated as unique? If you share the files, would you like me to review the structure first and confirm the cleanup rules before processing everything?

@pujasoni08soni08

Hello, I can work on this task and I am available to start immediately. Will deliver the file at the earliest possible. Thank you.

@shayankhan333

Hi, I can clean your Excel/CSV files using Python pandas, remove every duplicate, validate the remaining records, and hand back a polished dataset plus a concise cleanup report. I can start today. For the report, I will list the exact rules applied, records affected, and assumptions made, so you have a clear audit trail for compliance. Questions: 1) Which columns define a duplicate, or should I match on full rows? 2) Should near-duplicates (case, spacing, typos) be merged too? Looking forward to discussing further. Regards, Shayan.

@thiagofoz87

I can handle the full cleanup workflow with a reproducible and auditable process instead of manual-only edits. My approach would be to first profile the datasets to identify duplicate patterns, inconsistent formats, missing fields, and validation issues across the Excel/CSV files. From there, I would apply deterministic cleanup rules using Python (pandas) and, where useful, Power Query or Excel validation layers for transparency. For duplicate handling, I would define matching criteria carefully to avoid removing legitimate records accidentally. I can work with exact matches as well as normalized comparisons when fields contain formatting inconsistencies. Every transformation applied during the cleanup process will be documented. The final delivery would include: - Cleaned Excel/CSV files - A concise cleanup report with duplicate criteria, validation rules, counts of affected rows, assumptions made, and summary of corrections - Optional intermediate audit file showing removed or modified records if needed for compliance tracking This workflow is designed to keep the process traceable and easy to review later. Once I receive the files, I can quickly assess the dataset size and confirm the estimated effort and turnaround.

@iterativeTech

When it comes to scrubbing and optimizing datasets, nobody does it better than me. My name is Prem and I'm an experienced AI and Cloud Data Engineer who thrives on transforming data into actionable business insights. With firms in finance, healthcare, insurance, and other enterprise environments relying on me for their data challenges, I am well-versed in all aspects of data processing including deduplication, data validation, clear documentation and generating comprehensive reports that attest to the task performed. My broad technical expertise with Python (including using libraries like Pandas for data manipulation), Excel Data Analysis and Statistical Analysis makes me highly competent in utilizing any tool that delivers the most efficient results for a given problem. In this case, we can rely on Excel's built-in tools or exploit the power of Python Pandas to execute this deduplication task in an organized manner. More importantly, I ensure that every step I take is aligned towards not only overcoming the immediate data problem but also adding measurable value to your business.

@sanddep5

As an experienced Full-Stack Developer and Data Analyst, I possess a wide range of skills that can add enormous value to your project. Leveraging my expertise in Excel and Python, I have successfully cleaned, deduplicated, and managed complex datasets for various businesses. With a meticulous eye for detail and strong problem-solving ability, I can ensure your dataset is scrubbed clean with no duplicates remaining while maintaining data integrity. Furthermore, my proficiency in using Power Query, Excel’s built-in tools, and Python's pandas library will expedite the entire data cleansing process. This efficiency will enable me to provide you with a comprehensive cleanup report showcasing the exact rules applied, number of records affected, and any assumptions made during the transformation. This level of transparency is crucial when it comes to compliance filing and maintaining data accuracy. Lastly, I understand the significance of reliable data management for businesses of all sizes. Your satisfaction as a client is paramount to me; therefore, I guarantee on-time delivery, scalable solutions and long-term support if needed. I am eager to discuss your preferred approach and estimate turnaround time that meets your needs. Let's set out on this journey together towards ensuring you have a polished dataset that aligns perfectly with your business goals!

@waleedsheeraz06

Hi, I’d like to handle your data-cleaning project. I can use Excel, Power Query, or Python to remove duplicates, validate records, fix obvious errors, and maintain a clear audit trail. I’ll deliver the cleaned Excel/CSV file along with a concise cleanup report documenting the changes and rules applied. I’m ready to get started.

@satishk2233

Hello, With my extensive experience in data cleansing and analysis, specifically within the Engineering and Construction industries, I am well-prepared to tackle your Excel Data Deduplication & Report project. I have been working with Excel since the early days of Lotus, and currently, I primarily utilize Python (pandas) for data cleansing and visualization projects. This hands-on familiarity with Python means that I can offer you a workflow driven by efficient, accurate coding that will ensure a high level of data integrity. A specialization that I bring to this project is my ability to write content in Hindi and English for legal, scientific, and engineering domains. This skill is particularly important when creating the cleanup report that you need. I understand the crucial significance of a clear audit trail, and I assure you that my report will provide explicit documentation of every data entry rule employed, the number of records affected, and any assumptions made during the process. In conclusion, choosing me for your project guarantees not just clean, consistent data but also an exceptional eye for detail derived from years of handling complex data sets in heavily regulated industries. My proposed turnaround time is X days. I look forward to the opportunity to deliver on your specific data needs with both efficiency and quality! With regards Satish Kumar

@jrd20

Hi, I can help you clean and validate your Excel/CSV dataset with full accuracy. I have experience in data cleaning, duplicate removal, and validation using Excel, Power Query, and advanced formulas. In my banking operations role, I regularly handle large datasets, reconcile records, and maintain audit trails for compliance. My approach: 1. Use Excel/Power Query to identify and remove all duplicates 2. Validate data for consistency and fix obvious data-entry errors 3. Create a detailed cleanup report with rules applied, records affected, and assumptions made You will receive a clean, consistent final file plus a compliance-ready report. I can deliver the first cleaned batch within 24-48 hours. Happy to start with a sample file. Looking forward to working with you. Thanks,

@aakaashberi

Duplicates in Excel exports are rarely exact matches. The same record turns up as trailing whitespace, a different date format, caps versus title case, a phone number with and without the country code. Excel's Remove Duplicates only catches byte-identical rows, so it leaves most of them behind. I would use pandas, because it gives you what Excel cannot: a repeatable script and a full audit trail. - Normalise first: trim, case-fold, standardise dates and phone and email formats into shadow columns, so your originals stay untouched - Match on a composite key, with fuzzy matching where an exact key is not reliable - Every removal logged to a rejects file: the row dropped, the row it duplicated, and why - Validation on what survives: type, range and required-field checks, flagged rather than silently corrected - A change report anyone can read: counts in, counts out, rule by rule You get the cleaned workbook, the rejects file, the validation report, and the script itself, so next month's export you can rerun without me. I would expect four to six hours in total, and I have capped my weekly hours so the bill cannot run away. One question shapes the whole run: is a match on name plus one other field enough, or must every field agree before a row counts as a duplicate? Aakaash

@redstone01

As a seasoned freelancer with over a decade of experience in data entry and management, trust that your project will be handled with utmost excellence and attentiveness. My name is Stephen, and I have perfected the art of data analysis and cleaning. Your project is right down my alley as I understand the significance of clean, consistent data - making it not only manageable but also reliable for compliance purposes. My expertise extends beyond basic Excel manipulation as I am well-versed and proficient in various tools such as Python (pandas), Power Query, et al. This provides me with the flexibility to utilize the most efficient tools depending on the unique needs of each project. Leveraging on my extensive background in financial management, transparency has always been a key attribute—a quality that resonates deeply with your auditing requirement. My commitment to precise data entry will be evident throughout this task; not only will I identify and eliminate any duplicate records but also meticulously validate all remaining entries. In line with your request for a detailed report of all steps taken during this process, rest assured that I'll document every change made, ensuring you are kept fully in sync with the entire project workflow. Choose me today to enjoy swift and thorough completion of your project with no compromise on precision and efficiency.

@shaun4014

Hello, I came across your project on Freelancer and I’d love to help. I’m an experienced data analyst with a proven track record of delivering high-quality work that meets client expectations. I have over 5 years of experience in data cleaning and validation. I’ve successfully completed similar projects, such as deduplication for large datasets in Excel, ensuring accuracy and compliance for my clients. I focus on clear communication and timely delivery. For your project, I can: - Deliver a cleaned Excel/CSV file with all duplicates removed and data-entry issues fixed. - Produce a concise cleanup report outlining the rules applied, the number of records affected, and any assumptions made. - Provide regular updates throughout the process to ensure transparency. I’d be happy to discuss your project in more detail and share relevant samples of my past work. Looking forward to collaborating with you. Regards, Shaun Kelly

@bhargav922002

Hello, I’m Bharghav, and I bring over ten years of experience in matching job skills and delivering tailored solutions. My expertise in Python makes me well-suited for your project, specifically in handling data processing and analysis tasks. I understand that you require a thorough cleaning of your dataset across several Excel and CSV files, focusing on identifying and removing duplicates, validating the cleaned records, and documenting the changes made. My approach will utilize Python, particularly the pandas library, to efficiently clean the data. I will ensure that all duplicates are removed and any evident data-entry errors are corrected. After this, I will prepare a detailed cleanup report that outlines the rules applied, the number of records affected, and any assumptions made during the process. Let’s chat to discuss your specific needs and my proposed approach further. I can clarify any questions you have and work with you to define a suitable timeline for this project. Best regards, bhargav922002

@warrick1718

This project immediately caught my attention because it is exactly the type of work I do best. Your emphasis on providing a "clean, consistent data" set and a "clear audit trail" resonates with my approach to data management. With extensive experience in utilizing Excel’s built-in tools and Python (pandas) for data deduplication, I ensure all records are validated and documented thoroughly. While I am new to freelancer, I have tons of experience and have done other projects off site. If this sounds like what you're looking for I'd love to hear more about your project. Regards, Warrick Van Eeden

@winston052790

Hello, How are you? I am writing to express my interest in the Excel Data Deduplication & Report project. With a strong background in Python, Data Processing, Excel, and Statistical Analysis, I am confident in my ability to deliver accurate and efficient data cleansing. I will provide a thorough cleanup report outlining the steps taken and the impact on the dataset. I am ready to start immediately and can ensure a quick turnaround. Thank you. Winston