Touch-Football Statistics Excel Verification -- 2

@mjanchi

Hello there, as you can see from my profile I have experience in similar projects. Please contact me and I will prepare a sample for you Thanks

@ShaikhAneesa

Hello, I have thoroughly analyzed the touch-football statistics Excel verification project requirements, including the need to review and correct data errors in match results, player statistics, and standings. Let's chat and discuss it further. To handle your project, I will start with reviewing the flagged outputs of your script, ensuring consistency in team names, divisions, and roles, and correcting any data entry mistakes such as typos or incorrect totals. I will cross-check the processed data against the source files, making necessary corrections and providing you with validated and amended Excel files for analysis. The deliverables for this project will include validated Excel files, flagged unresolved rows, and a concise change log summarizing key corrections and applied rules. Before signing-off my bid, I would like to ask a question, i.e., how often do you require updates on the progress of the data verification process? Best Regards, Aneesa.

@axiomswb

Validating your touch-football Excel statistics... I see you have already done the heavy lifting with your processing scripts. I can step in immediately to meticulously cross-check the flagged script outputs against your 40-50 franchise source files across all 10 tournaments. My execution plan: Error Resolution: I will manually trace your flagged rows back to the ground-truth source files to correct typos, misplaced figures, and incorrect totals. Consistency Sweep: I will utilize Power Query/formulas to ensure team names, divisions, stages, and roles are perfectly uniformed across all workbooks. Deliverables: You will receive the fully validated files, a separate sheet of any unresolvable rows, and the precise change log summarizing my corrections and rules. I am ready to review your sample data today. Quick technical question: Do the 40-50 franchise source files follow a uniform column layout, or will my validation process need to account for structural variations between different teams?

@usmanbashir12100

Hi, I understand you need a detailed validation of your touch-football Excel datasets before analysis, ensuring the processed outputs accurately match the source files and that all statistics, match results, standings, and naming conventions are fully consistent. I’ll systematically review the flagged records, cross-check against the source workbooks, identify hidden discrepancies, standardize team/division/stage/role naming, correct calculation and data-entry errors, and provide validated files, unresolved exceptions, and a concise audit log of all corrections applied. Ready to start as soon as you share the workbooks. Usman Bashir

@mohamedBJ

I have experience working with Excel datasets, data validation, data cleaning, and quality checks, and I can help ensure your touch-football data is accurate and analysis-ready. I have also worked with large-scale football match datasets involving full tournaments and extensive player statistics, which required careful cross-checking across multiple sources to ensure consistency and accuracy. I will review the flagged outputs from your scripts, cross-check them against the source files, and correct any inconsistencies or errors that can be verified. I will also check naming conventions across the workbooks to ensure team names, divisions, stages, and player roles are standardized and consistently applied. Beyond the flagged records, I will look for data-entry issues such as typos, misplaced values, incorrect totals, duplicate entries, and other anomalies that could affect downstream analysis. Where issues cannot be confidently resolved, I will clearly flag them for review rather than make assumptions. I am comfortable working with Excel formulas, Power Query, and other tools that help speed up validation while maintaining accuracy. The final deliverables will include validated workbooks, a list of unresolved items, and a concise change log outlining the corrections made and the validation rules applied. I pay close attention to detail and understand the importance of having clean, reliable data before beginning deeper analysis.

@nareshk44

✅ Hello, I’m Naresh. With over 7 years of experience in Excel data validation, data cleansing, reconciliation, and sports statistics analysis, I can help thoroughly review and validate your touch-football datasets before further analysis. ✔ Review and correct all script-flagged records ✔ Cross-check processed files against source workbooks ✔ Validate player statistics, match results, and standings ✔ Standardize team names, divisions, stages, and role classifications ✔ Identify and correct typos, incorrect totals, duplicate entries, and data inconsistencies ✔ Verify calculations and relationships across tournaments ✔ Flag unresolved records requiring manual review ✔ Deliver clean, analysis-ready Excel files ✔ Provide a detailed change log documenting key corrections and validation rules applied I am comfortable working with large multi-workbook datasets and can leverage Excel formulas, Power Query, VBA, and validation techniques to efficiently identify hidden errors while maintaining data integrity. Accuracy is my primary focus, ensuring your final datasets are reliable for reporting, analytics, and future statistical analysis. Looking forward to collaborating with you! Regards, Naresh

@emilesd617

Hi, I am a full stack AI developer with 8 years of rich experience. I am familiar with Excel, Data Processing, Data Analysis, Excel VBA, and Data Management. For this project, the most important part is carefully verifying the processed statistics against the source files and fixing inconsistencies before deeper analysis begins. I can review flagged rows, cross-check match results and player stats, standardize names and roles, correct data issues, and provide a clear change log with unresolved items. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@eshA0010

As an experienced Excel expert, I understand the value of error-free data for accurate analysis, and that's precisely what I will deliver for your touch-football statistic project. With my extensive skills in data entry, data processing, and Excel macros, I am well-equipped to help you review, cross-check and fix all the flagged outputs, inconsistent data entries and potential errors in your workbooks. I've worked on similar projects before where attention to detail is paramount; precisely like what you're asking now. This enables me to identify and amend even the trickiest of errors such as hidden formula issues or typo-induced troubles efficiently. Also, having expertise in VBA and Macros would significantly speed up the verifications. Importantly, I honor communication and timeliness. Hence, throughout our collaboration, you'll receive regular updates on my progress. If any questions or uncertainties arise, I'll reach out to you right away for necessary clarifications. Let’s make this project a fruitful affair where we get not just accurate results but also establish a trust-worthy professional relationship- something my previous clients vouch for! Trust me with your touch-football statistics verification project today! Looking forward to hearing from you soon!

@techplusintl

Hi there, ★★★ Excel Expert ★★★ 5+ Years of Experience ★★★ I can validate and amend your Excel files with including thorough cross-checking against source files and fixing errors. This will include: - Reviewing flagged outputs from your script. - Ensuring consistent naming for team names, divisions, and roles. - Correcting data entry mistakes like typos and incorrect totals. I will handle this by systematically going through each workbook and referencing the source files to ensure accuracy. Ready to start once you provide access to the Excel workbooks and any specific guidelines for corrections. Thanks!

@avijitdey239

As a skilled data analyst with an extensive background in data management and manipulation, I am confident that I can help you not only verify the accuracy of the touch-football match results and player statistics Excel files but enhance your workflow altogether. My expertise in Python, Excel, and Power Query enables me to efficiently check and fix flagged outputs and cross-reference them with the source data to eliminate discrepancies, no matter how deeply rooted they might be. I have a sharp eye for detail, which I will apply during my review process to identify and rectify all typographical and numerical errors. I understand that this project requires not just data consistency checks but also profound problem-solving abilities. My experience in using AI tools to expedite data cleansing will be particularly beneficial in dealing with large datasets such as these 40-50 franchise files. Moreover, being well-versed with using Change Tracking within Excel, I assure you a comprehensive summary of each issue tackled and the rules applied for resolution.

@mohjib092

HI! I can review the Excel workbooks carefully by checking the flagged script outputs, matching processed data against the source files, standardizing team names/divisions/stages/roles, and correcting typos, totals, and misplaced values. I’ll deliver clean analysis-ready files, a list of unresolved flagged rows, and a short change log explaining the corrections and rules applied. Best Regards

@Muhammadzeesha59

Hello Sir/Mam I am excited to offer my expertise in Data Analysis , Data processing to assist . With a robust background in making case studies and projects, proficiency in R, spreadsheet tools, and Tableau, Power BI , SQL , Excel , SPSS Statistics , Data Entry . I am well-prepared to support you in your Project . My ability to deliver exceptional results on time and with utmost quality . I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thank you !

@SkillCrafts

I understand you need a rigorous verification of your touch-football statistics Excel workbooks, similar to how I've previously validated large datasets for sports analytics projects by cross-referencing against raw entry logs and applying automated outlier detection. My goal is to ensure the integrity of your player and match data before your in-depth analysis. My approach will involve a systematic audit. I'll utilize advanced Excel functions like VLOOKUP, INDEX/MATCH, and conditional formatting to compare your processed data against the source files, specifically focusing on flagged outputs from your script. I will then implement data validation rules and pivot table analysis to identify inconsistencies in player stats, match results, and standings. My plan includes creating a clear audit trail of all corrections made. To ensure I address your exact needs, could you clarify the format of your "source files" and any specific types of "obvious or hidden errors" you've encountered previously? I'm confident I can deliver a clean, reliable dataset. Let's schedule a brief call to discuss the specifics.

@Solutionworld22

Hi, I can help you thoroughly validate and clean your Excel datasets. I’ve worked on similar multi-file reconciliation tasks where processed data must be cross-checked against source files to catch hidden errors. I will: Cross-verify processed outputs with source franchise files Fix inconsistencies in team names, player stats, match results, and standings Identify and flag any unresolved or suspicious records Deliver cleaned Excel files plus a short change log explaining all corrections I can also use Power Query or formulas to speed up cross-file comparisons and ensure accuracy across all 10 tournaments. Thanks Krishna

@MinaMaroufIt

Hi, I can help review, validate, and correct your touch-football Excel workbooks before deeper analysis. I have experience working with Excel data cleaning, cross-checking processed outputs against source files, fixing inconsistencies, and preparing structured datasets for analysis. I can review the flagged rows first, then check team names, divisions, stages, roles, match results, standings, totals, typos, and hidden data-entry issues across the workbooks. I’m comfortable using Excel formulas, Power Query, VBA, and scripts where useful, but I’ll keep the process transparent and provide a clear change log showing what was corrected, what rules were applied, and any unresolved rows that need your review. I can work carefully through the sample files and reference the franchise source files where needed to deliver validated Excel files ready for analysis. Best, Mina

@arshman18

Greetings, I see that you need a detailed review of your Excel workbooks that track touch-football match results and player statistics. It looks like you’ve already done a lot of the groundwork, and now you need someone to help cross-check the processed data against the original source files. My approach would involve carefully reviewing the flagged outputs from your script first, ensuring we address those specific areas that need attention. I’ll also make sure that team names, divisions, and roles are consistent across the workbooks, while correcting any data entry mistakes like typos or misplaced figures. My experience with Excel, including data validation and troubleshooting, will ensure that your files are accurate and ready for deeper analysis. Best regards, Muhammad Arshman

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations. I have experience handling similar Excel validation, data cleaning, and sports statistics projects and I'm available to start your project right now. I bring deep expertise in Excel, Data Processing, Data Analysis, Excel VBA, Power Query, Google Sheets, Data Management, and Data Quality Validation with over 10 years of experience. One of the key challenges in projects like this is ensuring that corrected data remains fully aligned with the source files while maintaining consistency across team names, divisions, stages, player roles, match results, and standings. I can systematically review the flagged outputs, cross-check them against the source workbooks, identify hidden inconsistencies, correct unresolved totals and typos, and provide a clear audit trail of all changes made. For delivery, I will provide validated Excel files, a list of unresolved records requiring manual review, and a concise change log summarizing corrections and validation rules applied. I have a couple of quick questions. • Approximately how many flagged rows were generated by your scripts? • Are the source workbooks already standardized in structure, or do formats vary between tournaments and franchises? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos

@InoovativeThink

Hi, I read through your project for Touch-Football Statistics Excel Verification -- 2. You need help with touch-football statistics excel verification -- 2. I can build and deliver this efficiently based on the job requirements. This fits well with my experience in Data Processing, Excel, and Excel Macros. I can take what you outlined and turn it into a clean final delivery, with attention to Data Processing and Excel and the details in your brief. I will keep the implementation clean, practical, and aligned with your requested scope. Send me the details and I can start immediately.

@alluankit01

Hi, I can help verify and clean your touch-football Excel workbooks by cross-checking processed outputs against the source files and correcting flagged or hidden data issues. The best solution is to first review the flagged script outputs, then validate team names, divisions, stages, roles, match results, standings, and person statistics against the source workbooks. I’ll correct clear errors such as typos, inconsistent naming, misplaced figures, wrong totals, and mismatched player/team records, while keeping a clear record of every correction made. I’m comfortable with Excel, Power Query, formulas, VBA/macros, data validation, sports statistics, spreadsheet auditing, duplicate/error checks, source-to-output reconciliation, and structured change logs. I can work carefully across Match Results, Person Stats, Standings, and the 40–50 franchise files where needed to verify uncertain records. Deliverables will include: * Validated and amended Excel files * Resolved flagged rows where source data confirms the fix * Separate list of unresolved rows * Short change log summarising corrections and rules applied * Consistent naming across teams, divisions, stages, and roles I’ll focus on accuracy and auditability so the files are clean and ready for deeper analysis. Best regards Ankit