Healthcare Insurance Data Cleanup

@schoudhary1553

My name is Sandeep, and I have over 12+ years of experience as a Full Stack Developer. My expertise includes Excel automation, Macros (VBA), and building efficient, scalable solutions to streamline processes and improve productivity.

@dgled

Hello, I can deliver a clean, analysis-ready Excel workbook for your healthcare claims data so you can move directly into reporting without spending more time fixing source issues. What you will receive: * A fully cleaned main sheet with standardized dates in DD-MM-YYYY format * Numeric currency fields formatted consistently to two decimals with no symbols * Duplicate claim IDs removed while preserving the first complete valid record * Standardized and ready for filtering, pivoting, and downstream analysis * A separate exceptions tab highlighting suspected entry errors, unusual values, and records needing review * A brief change-log tab summarizing all cleanup actions performed * A workbook structured to open cleanly and be easy to hand off internally I work extensively with Excel, Power Query, formulas, and VBA, with a strong background in financial and operational data validation, reconciliation, and structured reporting. That experience helps ensure not just a tidy file, but one you can trust. With approximately 10,000 rows, this is a very manageable task, and I can complete it accurately and efficiently while keeping communication clear throughout. If awarded, I will return a workbook that is clean, consistent, and ready for immediate analysis. Best regards, Dov Goldenberg

@nimiwebjuggler

Asalaamu Alaikum [Client's Name], and thank you for considering Ali DataExperts for your important project. I have over 7 years of experience working with data, specifically on detailed Excel projects where accuracy and efficiency are crucial. Clients who have worked with me value my command over Excel's power tools, including Power Query, formulas, and VBA for repetitive fixes, which I anticipate will make the data cleanup process smooth and swift. Your project description shows you need someone who can thoroughly clean and format all columns; this is where my skills in data analysis, processing, and entry come in. A clean sheet with correctly formatted dates, numerical amounts, text fields, ICD/CPT codes as per official patterns would be delivered to you. Duplications will be removed without compromising the first complete record. I even have a special tab to flag data errors or outliers for your inspection. My goal is to provide you with a high-quality workbook that not only meets your acceptance criteria but enables you to proceed straight to insightful analysis. I believe my expertise and dedication make me the best fit for this project. I am ready to start the project today itself – just share the dataset with me. Rest assured, I am always available for clarifications when required. Choose Ali DataExperts with confidence - we won't let you down!

@muneeb6767

I’ll build a safe Telethon/Pyrogram script with smart delays, flood-wait handling, and multi-account rotation to add 5K users without risking your group. Includes retry logic, error handling, and clean reporting (success, failed, restricted users). Stable, reusable setup for your monthly runs with simple config and logs.

@tauqeer0307

Hello, Your dataset needs to move from inconsistent raw claim records to a clean, validated, analysis-ready workbook, and I can handle that end-to-end. With 5 years of experience in Excel data cleaning, I will standardize date formats to DD-MM-YYYY, convert currency fields to numeric two-decimal values, and normalize provider and procedure codes. I’ll remove duplicates while preserving the first complete record and validate ICD-10 and CPT formats for consistency. I will also identify outliers and potential data-entry errors, listing them in a separate review tab, and deliver a tidy main sheet ready for reporting. All transformations will be documented in a brief change-log for transparency. I’ll use Power Query and structured formulas to ensure accuracy and repeatability. Once completed, the workbook will open cleanly with no validation issues and be ready for analysis. Looking forward to hearing from you. Best Regards Tauqeer Ahmad

@nareshk44

Your search for a top-quality service ends here! As an Excel professional, I have honed my skills to guarantee fast, accurate, and on-time delivery, which is why your project aligns perfectly with my expertise.I have extensive experience in data cleansing and analysis projects. My Excel skills include using the power tools like Power Query, formulas, VBA, which will allow me to complete the task effectively and efficiently. I also understand the significance of uniformity for seamless reporting. I've dextrously handled thousands of rows of data to make sure dates are coherent in DD-MM-YYYY format, numerical amounts follow the required pattern, and code columns accurately reflect the ICD and CPT guidelines. I'm also keen on weeding out duplicates to preserve the first complete records while preparing a brief change-log for your ease. Moreover, my ability to communicate quickly ensures that if there are any clarifications needed during the project, you'll get timely response.I believe my dedication towards my work combined with effective time management would be of great value to you by providing accurate,timely,this making the data ready for your immediate analysis.

@ivank69

Hi there. Should duplicate handling keep the first fully populated claim record by Claim ID only, or also check combinations like patient, provider, date, and amount for near-duplicates? For ICD-10 and CPT validation, do you want strict pattern checking only, or should the workbook also flag codes that look valid in format but seem mismatched or incomplete? This is a very practical cleanup task, and the best approach is to standardize dates, normalize codes, clean numeric fields, remove duplicates carefully, and keep a separate tab for flagged issues and change tracking. That gives you a workbook ready for reporting right away. A similar data cleanup task was handled before with large structured records that had mixed formats, duplicate entries, and inconsistent coding fields. The main challenge was improving data quality without losing useful records or making the workbook hard to review. That was solved by using Power Query, formulas, and validation rules to clean, deduplicate, and flag exceptions in a clear Excel workflow. Strong experience in Excel, data quality, and structured cleanup makes this a very good fit, ready to start immediately. Best, Ivan

@wpcodersuk

Hi There, I understand you need an Excel professional to transform your raw healthcare insurance-claim records into a clean and analysis-ready workbook. My expertise in data cleaning, organization, and validation will ensure that your dataset is free of duplicates, follows the specified date format, and meets all necessary coding standards for efficient reporting. With over 12 years of experience in Visual Basic, Data Processing, and Excel—along with skills in Excel VBA, Macros, Data Scraping, and Analysis—I can deliver the results you need in a timely manner. My proficiency in Power Query and various formulas will enhance the speed and efficiency of the task. You can view my portfolio here: https://www.freelancer.com/u/wpcodersuk Thank you for considering my proposal. I look forward to delivering accurate and timely results that facilitate your analysis. Thanks, Regard, Mehak

@rezamahi

Hello, I’ve carefully reviewed your project and I can help you transform your raw healthcare insurance dataset into a clean, structured, and analysis-ready Excel workbook. I understand the importance of accuracy in this type of data, especially with claim IDs, date formats, and medical coding (ICD-10/CPT). I will ensure that every field is properly validated, standardized, and organized for seamless downstream analysis. My approach will include: • Cleaning and standardizing all columns (dates, numeric values, text fields) • Removing duplicates while preserving the first valid record • Identifying and flagging inconsistencies or outliers in a separate sheet • Validating ICD-10 and CPT code formats • Ensuring uniform formatting (DD-MM-YYYY, numeric currency, etc.) • Delivering a structured workbook with a clear main sheet + change log I have hands-on experience with Excel advanced tools including Power Query, formulas, and data validation techniques, which allows me to handle datasets efficiently and accurately—even with large volumes like 10,000+ rows. I prioritize clean, reliable data and clear documentation so your analysis process becomes smooth and error-free. I’m ready to start immediately and can maintain quick communication for any clarifications during the process. Best regards

@Asiful11781

Hello, I understand you need your healthcare claims dataset cleaned, standardized, and made fully analysis-ready. I have strong experience with Excel, including Power Query, formulas, and data validation. I will: * Convert all dates to **DD-MM-YYYY format** * Clean currency fields into numeric values (2 decimals, no symbols) * Standardize text fields and validate ICD-10/CPT codes * Remove duplicate claim IDs while keeping the most complete record * Create a **separate validation sheet** for errors and outliers You’ll receive a clean main sheet, an error/validation tab, and a brief change-log for full transparency. I can also structure it with Power Query for future reuse. I can complete this within 1 day and will stay available for quick updates. Best regards, Asiful

@enervell

As an experienced Full Stack Developer with over 9 years of experience, I bring not just Excel expertise to this project but a holistic understanding of data management and analysis. Throughout my career, one of my primary focuses has been on building robust, secure, and efficient data systems for large-scale applications. I have used both SQL and NoSQL databases extensively and have a deep understanding of their design, optimization, and organization. Additionally, I am familiar with AWS cloud services and have used various powerful tools like Power Query, formulas, and even VBA to automate and streamline repetitive tasks in Excel. Given the volume of your dataset, these skills will be highly advantageous when it comes to cleaning up inconsistent date formats, removing duplicates, ensuring data accuracy, and organizing the workbook effectively for downstream reporting. My multi-lingual fluency in C#, Java, JavaScript, Ruby,and Python ensures that I not only excel at using ready-made tools but I can also create custom scripts or programmatic solutions if needed. With me on board for your Healthcare Insurance Data Cleanup project,you can be assured of timely delivery of high-quality work that will make your downstream reporting efforts effortless.

@wasimameen

Hello, cleaning a 10,000-row healthcare claims dataset — standardising dates to DD-MM-YYYY, formatting currency and ICD-10/CPT codes correctly, removing duplicates while preserving the first complete record, and flagging outliers in a separate tab with a change-log — is structured Excel work I handle efficiently using Power Query and formulas. Share the file and I can get started right away. Check my formatting and document work here: https://www.freelancer.com/portfolio-items/11110454-pdf-and-word-formatting Wasim Ameen

@echekwa

Dear client, I specialize in transforming raw, messy datasets into clean, analysis-ready workbooks—and this healthcare claims project is exactly where I excel. With 4 years of experience in data cleaning and validation, I will meticulously address every requirement. Using Power Query for efficient, repeatable transformations and Python for precise pattern validation, I will: Standardize all dates to DD-MM-YYYY format Convert currency figures to numeric, two‑decimal values free of symbols Validate ICD-10 and CPT codes against official patterns Remove duplicate claim IDs while preserving the first complete record Flag data entry errors and outliers in a separate tab I will deliver a single Excel workbook with a tidy main sheet and a brief change‑log. Every acceptance criterion will be met: no duplicate claim IDs, uniform date structure, clean currency fields, properly formatted codes, and zero validation errors upon opening. I am available for quick clarifications and can complete this efficiently. Best regards, Chijioke

@danielboggs

Hi, I’ve read your brief and can turn your raw 10,000-row insurance claims file into a clean, analysis-ready workbook. I regularly use Power Query, structured formulas and targeted VBA to normalise dates, standardise ICD-10/CPT formats, convert currency to numeric two-decimal values, and deduplicate while preserving the first complete record. I’ll validate fields against patterns, flag outliers on a separate tab with notes on why they were flagged, and include a concise change-log describing transformations. Technically, I’ll ingest the sheet into Power Query, apply deterministic date parsing rules and fallback formats, run pattern checks for ICD-10/CPT with corrective transforms, coalesce partial records during dedupe, and output a tidy main sheet plus a validation tab. I’ll keep the workbook free of validation errors so it opens cleanly. I can start as soon as you share the file and will check in quickly on any ambiguous entries. Are there specific ICD-10 or CPT code versions or local code lists I should prioritise when validating and correcting codes? Best regards, Daniel

@tarast7

Hello, How are you? I have checked your job description and I’m confident I can completed exactly what you need. Your healthcare insurance data cleanup project, especially with its mix of inconsistent date formats, duplicated claim IDs, and ICD/CPT code standardisation, aligns perfectly with my experience. I have extensive experience with AI content, advanced Excel power tools, Power Query transformations, VBA automation, and data validation techniques that ensure accuracy and structure in large datasets. So I think this job is an ideal match with my skills and experience. I will ensure consistent DD-MM-YYYY formatting, clean numeric currency fields, validated medical codes, deduplicated records, and a tidy final workbook with a clear change-log. Please send me a message so that we can discuss more. Thanks Taras

@staphanien

Hello, I’m very interested in your project. It aligns closely with my experience working on data cleaning, validation, and structuring, where accuracy and consistency are essential. In my background, I’ve handled large volumes of sensitive administrative and financial data, which required careful verification, identification of inconsistencies, and preparation of clean, reliable datasets for analysis. For your file, I will make sure that all fields are properly formatted and standardized, duplicates are removed while keeping the most complete records, and any anomalies are clearly flagged in a separate tab. I will also provide a clean workbook along with a brief summary of the changes made. I’m comfortable using Power Query, formulas, and Excel tools to ensure the work is both efficient and precise. Based on the size of the dataset, I can complete this within 1–2 days. Please feel free to share the file when ready—I’d be happy to get started. Best regards

@SuA90

Hello. I am highly skilled in Excel and have experience in cleaning and formatting large datasets, especially in the healthcare sector. I specialize in resolving data inconsistencies, removing duplicates, and standardizing formats to ensure the final dataset is analysis-ready. For your project, I will: Clean and format all columns (dates, numerical amounts, text fields, ICD/CPT codes). Remove duplicates and preserve the first complete record. Flag and document any errors or outliers in a separate tab. Ensure the final workbook has a uniform date structure and numeric formats without symbols. I am confident in using Excel's power tools like Power Query, formulas, and VBA to automate repetitive tasks and streamline the process. Can you confirm if the ICD-10 and CPT codes you provided are in the official format, or would you like me to cross-check them against a reliable source? Timeline: I can complete this within 3 days after receiving the dataset. Budget: $20 USD per hour. Let’s clean up your data and make the analysis seamless! Thanks,

@RKhakhula

Hi There, As a Data Analyst with extensive commercial experience I specialize in complex data preparation and standardization. Delivery: Deduplication: Removal of duplicate claim IDs while keeping the first complete record. Standardization: Dates unified to DD-MM-YYYY, currency set to a clean numeric two-decimal format without symbols, and ICD-10/CPT codes matched to official patterns. Validation: Outliers and data entry errors flagged in a separate tab for easy review. Audit Trail: A completed master file alongside a concise change-log summarizing all modifications. With my deep background in large-scale database administration and Python/ETL workflows, I treat data integrity with the utmost care. I am ready to start as soon as you share the dataset and am available for any clarifications. Let's contact to discuss details. Solutin Vector Roman Khakhula

@nainsis08

Hi, I’d be happy to help you transform your raw healthcare claims data into a clean, analysis-ready Excel workbook. I understand how critical accuracy and consistency are—especially with medical codes and financial data—and I’ll ensure everything is structured for seamless downstream reporting. You can share the dataset anytime—I’m ready to begin and will keep communication quick and clear throughout. Looking forward to working with you! Best regards, Nainsi