Data Cleanup & Web Verification

@Web1devloper

As an accomplished data professional, I understand the importance of accuracy and reliability when it comes to managing large datasets. With over 8 years of experience in data analytics and science, I have developed a keen eye for detail and greatly enhanced my command of Excel functionality and data-validation tools. I assure you that my skills extend beyond mere data entry; I am well-versed in merging, de-duplicating, cleaning, and verifying intricate datasets - all tasks integral to your project. Furthermore, my proficiency with SQL, Python, and Google Sheets—skillfully complemented by solid knowledge of Power BI, Looker, Google Data Studio, among others—gives me an edge in efficiently handling your data-cleanup needs. My expertise doesn't just end at verification; I am capable of delivering the final product aligned precisely with your specifications including perfectly matching style guidelines & conditional formatting. Finally, business communication is one of my key strengths. Throughout my career, I have maintained transparency and ensured timely progress updates with my clients—a skill that I believe holds immense value in our partnership. Pairing persistent problem-solving skills with a strong inclination for insights extraction, I am confident in providing you not only an accurate and well-presented dataset but tangible insights gleaned from it as well. Let's team up and unlock the full potential of your data!

@robertb297

Hi there, I'm a Data & Automation Specialist working with Python and Excel to clean, consolidate, and verify business data at scale. I specialize in merging messy multi-file datasets, de-duplication, and web-based data verification — with a 5.0★ rating and 100% on-time, on-budget delivery. Here's how I'll approach your project: My understanding: You have customer records scattered across several files that need to be merged into one clean, de-duplicated master workbook — then every contact detail (name, phone, email, address) cross-checked against reliable web sources, logged column-by-column with proof, and formatted to match your style guide exactly, delivered in both Excel and Google Sheets. My plan: Consolidate & standardize — merge all source files into one structure, normalize each field (phone formats, email casing, address components) so records become comparable. De-duplicate intelligently — catch not just exact duplicates but near-matches (typos, spacing, formatting differences) using fuzzy matching, and flag any ambiguous merges for your quick confirmation rather than guessing. Verify against the web — cross-check each contact detail against reliable public sources, tagging every record with a confidence status (Confirmed / Corrected / Needs review) and logging the supporting URL or screenshot for each correction. Format & QA — apply your exact column order, header style, and conditional colour coding from your guide, run a final validation pass, and deliver in both Excel and Google Sheets. Deliverables: Cleaned & consolidated master workbook + column-by-column correction log (with confirming URLs/screenshots) + both Excel and Google Sheets versions, formatted to your guidelines. Timeline: 3–4 days (scales with record count) · Tools: Excel formulas & data-validation, Python/Pandas, Google Sheets Two quick questions so I match your expectations exactly: Roughly how many records and source files are we working with? For verification, are there specific sources you trust most (e.g. company websites, official directories), or should I use my best judgment on source reliability? I'll clean and verify a small sample for free first, matched to your style guide, so you can check my accuracy and formatting before awarding — and I'll keep you updated with short progress notes so nothing drifts from what you want. Ready to start right away — let's discuss the details.

@alluankit01

Hi, I can clean, merge, de-duplicate, and verify your customer information into one accurate master Excel/Google Sheets workbook, formatted exactly according to your style guide. The best solution is to first review all source files, column structure, sample format, and verification rules. Then I’ll consolidate the records, remove duplicates, standardize names, phone numbers, emails, and addresses, and cross-check key contact details using reliable web sources before preparing the final formatted workbook. I’m comfortable with Excel, Google Sheets, data cleanup, duplicate removal, customer database consolidation, web verification, formatting rules, conditional color coding, validation checks, and correction logs. Deliverables will include: * Consolidated customer master sheet * Duplicate removal * Name, phone, email, and address cleanup * Web-based contact verification * Correction log with source URLs/screenshots * Formatting as per style guide * Conditional color coding * Excel and Google Sheets delivery * Final accuracy review I’ll focus on clean structure, verified data, and clear documentation so your final customer database is accurate, up to date, and ready for immediate use. Best regards Ankit

@ChadiS5

Hello, I’d be happy to consolidate, clean, de-duplicate, and verify your customer data into one accurate master workbook. I’m a Software Engineer with strong experience in Excel, Google Sheets, data cleaning, validation, Python/Pandas, and web research. I can handle the complete workflow: Merge data from multiple files Remove duplicates and resolve inconsistencies Standardize names, phone numbers, emails, and addresses Cross-check contact details against reliable public web sources Record every correction with its supporting URL or screenshot Apply your exact column order, headers, and conditional formatting Deliver both Excel and Google Sheets versions I’ll also perform a final quality check to ensure the workbook is clean, consistent, and ready to use. I can clean and verify a small sample for free before you award the project, so you can check my accuracy and formatting against your style guide. I’m ready to start immediately and can work efficiently while maintaining strict attention to detail and confidentiality.

@thaakierj

I’ve recently completed a similar project successfully, where I consolidated and verified customer data for a client, ensuring all details were accurate and well-organized. I am confident I can deliver the same quality for this project, providing you with a polished and reliable master workbook. One important detail that stood out in your job post is the need for a **responsive** approach to formatting, as well as maintaining an **integrated** system for logging corrections. My goal is to ensure the final product is **scalable** and **easy to use**. While we might be new to Freelancer, we have over 5 years of experience off-site, and I truly appreciate you taking your time to review our proposal. I would love to discuss this project more. We have multiple 5-star reviews on similar projects and rank in the top 1% among 75 million users! I look forward to the opportunity to collaborate and bring your vision to life. Regards, TJ

@LibraWS

Hi there, Consolidating scattered customer data into one clean, verified master sheet is exactly the kind of work I do well, and I would like to help you get this done right. Here is what I will deliver: a fully merged, de-duplicated spreadsheet with every contact record checked for accuracy across reliable web sources. For each correction I make to a name, phone number, email, or address, you will receive a column-by-column log with the source URLs or screenshots that back up the change. The final file will be formatted strictly to your style guide, covering column order, header style, and conditional colour coding, and delivered in both Excel and Google Sheets formats. Since I am newer on the platform, I want to make this easy for you: I am happy to work on a milestone basis so payment is only released once you are satisfied with the result. I will also provide free revisions until the workbook looks and functions exactly as you need it. I am based in Zadar, Croatia, available across time zones, and ready to start as soon as you share the sample files and style guide. Looking forward to hearing from you.

@satishk2233

Hello, With over a decade of experience in Engineering and Data Processing, I bring a unique blend of expertise and skills to your project. My extensive use of Excel throughout my career, especially in data cleansing, management and visualization, makes me the ideal candidate for this task. I am highly proficient at using Excel formulas and data-validation tools to clean and consolidate scattered data into a single, polished workbook while adhering to your specific formatting guidelines. I understand that the accuracy and reliability of the information is crucial for you. Therefore, my proficiency in utilizing Python, which I've been applying for numerous data cleansing and validation exercises lately, will be an added advantage. My meticulous attention to detail combined with my resourceful nature will ensure each and every contact detail is thoroughly cross-verified with reliable web sources. Throughout our collaboration, you can expect clear and timely communication from me. I will provide a log of any corrections made complete with URLs or screenshots as evidence for each updated contact detail. As a client-centric professional, I guarantee the work will be completed efficiently. Choose me and let's tidy up your data for better insights and smarter decision making. With regards Satish Kumar

@Rafay2001

Hi, I can turn your scattered customer data into one clean, accurate, and audit-ready master workbook. I’ll handle deduplication, consolidation, web verification, correction tracking, and final Excel/Google Sheets formatting exactly to your style guide. Every meaningful correction will have a clear source URL or proof trail. I’m detail-focused and comfortable working with large datasets where accuracy matters more than simply filling cells. I’m ready to start with your sample and deliver a clean, reliable final database. Let’s get this cleaned and verified properly. Rafay

@Bombax10

I will collate all provided customer information in Excel File. I will do it in accurate manner and Excel sheet will be provided in simple and concise way.

@romaing1

Hi, I can consolidate your customer files into a clean, de-duplicated and consistently formatted master workbook, while maintaining a clear audit trail of corrections. My approach would combine structured data cleaning with careful verification of contact information against reliable public sources. Each correction can be logged with the original value, corrected value and supporting source, making the final dataset easy to review and audit. I can also reproduce your formatting guidelines, including column structure, headers, validation rules and conditional formatting, and provide the final workbook in the requested formats. I use Python for data processing where automation improves accuracy and consistency, alongside spreadsheet tools for the final presentation and validation. Before starting, I would like to confirm the approximate number of customer records and files, as the web-verification workload depends significantly on the dataset size. Based on the scope described, I can target an initial delivery within 5 days. Best regards, Romain

@DarrenBluePeak

Hello, I can consolidate your customer files into one controlled Excel and Google Sheets master, remove duplicates, standardize fields, and verify names, phones, emails, and addresses against reliable web sources. I will preserve a column-by-column correction log with source URLs, apply your formatting and conditional-colour rules, and run validation checks before delivery. I can start immediately; after reviewing the sample and record count, I will confirm the work plan and milestones.

@JohanEngelb

A CLEAN DATASET IS A POWERFUL ASSET I'd love to help with your data cleanup and verification project. I have extensive experience in consolidating and verifying customer information, ensuring accuracy across various platforms. What specific web sources do you prefer for verification? Also, could you clarify your timeline for completion? Reaching out could lead to a valuable consultation on this project. Regards, Johan

@Datdek2

Hi, you have scattered customer files that need to be merged, de-duplicated, and verified against web sources - then delivered as one clean master workbook following your exact formatting guidelines. Accuracy with a paper trail is the core, so here's my plan: My process: 1. Merge all source files into one master workbook and de-duplicate by name/phone/email/address 2. Cross-check every contact detail against reliable web sources - update, fix, or flag each discrepancy 3. Apply your style guide precisely: column order, header style, conditional colour coding 4. Deliver a column-by-column log of corrections, with URLs/screenshots proving each change I'll deliver a sample of cleaned + verified records within the first 24 hours so you can check quality and formatting before I process the full batch. You'll get clear progress updates along the way. Questions: - About how many records are in the files? - For contacts I can't verify reliably - flag them as unverified in a note column, or exclude them? Final deliverables: cleaned master workbook (Excel + Google Sheets), corrections log with proof, ready in 7 days. Happy to start right away.

@NobleSourcing

I am the perfect fit for your data cleanup and web verification project. I recently completed similar projects where I expertly consolidated and verified customer information, ensuring accuracy and clarity. With a strong command of Excel and meticulous attention to detail, I will deliver a polished master workbook that adheres to your formatting guidelines. My commitment to clear communication means you will always be updated on progress. I am excited to bring my skills to your project. Thank you, Tegan

@nanisem

I recently helped a client take their initial idea and turn it into a refined, high-quality digital experience that felt modern, intuitive, and ready to present to real users. I can help you bring your vision to life with a clean, user-friendly solution that not only looks professional but also works smoothly and supports your overall goals. I understand you're looking for something that feels clean, professional, and seamless, with a strong focus on usability and a well-integrated experience that flows naturally. I specialize in creating modern interfaces, strong visual designs, and engaging user experiences that are both functional and visually appealing. I have done similar work: [Culture City Web Application](#). I am very interested in chatting with you about your projects by helping you build your business and achieving your goals. The only thing you will lose is some time on a free consultation. Kind Regards, Nanise Mostert

@highmac

Hi, I can consolidate the customer files into one clean Excel and Google Sheets workbook, remove duplicates, standardize the name, phone, email, and address fields, and preserve the requested column order, headers, and conditional colour coding. I will verify updated contact details against reliable web sources, record each correction with its supporting URL or screenshot, and provide a column-by-column change log. I will also manually review the final workbook against the source files and the style guide before delivery. I can start at an introductory rate of ₹12,500 INR fixed for the agreed scope and deliver both the formatted Excel file and Google Sheets version. Best, Vadim

@KAJALKIARA

You need scattered customer files merged into one master sheet, de-duplicated, then each name/phone/email/address checked against public web sources - with a column log of every change and its evidence URL. How I will run it: 1) Ingest all source files into one staging table (Excel or Sheets - your choice for the working file). 2) Normalise phones/emails/addresses, trim whitespace, standardise case, then de-dupe on the strongest key available (email first, then phone+name). 3) Web-verify contacts via public sources only (company sites, directories, LinkedIn public pages). Anything I cannot confirm stays flagged, never invented. 4) Apply your style guide: column order, header style, conditional colour coding. 5) Deliver .xlsx + Google Sheets copy, plus a corrections log (old -> new, reason, URL). Honest constraint: web verification quality depends on how public the contacts are. Private individuals without a web footprint will be marked unverified rather than guessed. I do this class of work daily - data cleaning, spreadsheet pipelines, and verification logs. Happy to mirror your sample sheet on a free test slice before the full run. Bid Rs.14,000 / 5 days.

@orfegasoluciones

Hello, I can consolidate your source files into a structured master workbook, de-duplicate customer records, standardize names, phones, emails, and addresses, and create a traceable correction log with a source URL or screenshot for every changed field. I will reproduce your column order, headers, validation rules, and conditional formatting, then deliver both XLSX and Google Sheets versions. My workflow is: sample audit, merge-rule confirmation, automated normalization, manual web verification, and final QA. This bid covers up to 500 source rows and one correction round; after reviewing the sample files I will confirm the exact scope before starting. I will use only sources you authorize and begin once the project is awarded and the milestone is funded.