Financial Data Collection & Cleanup -- 2

@AsmarAtique

Hi, I can take your scattered financial records and turn them into a clean, reconciled, duplicate-free workbook that remains reliable in both Excel and Google Sheets. With 12 years of Financial Analyst experience, I’m highly experienced in financial data, Excel, reconciliation, validation, data cleaning, formatting, and accuracy-critical records. My validation process will include: • Entering and structuring source records into the agreed column format • Cross-checking every field against the original documents • Identifying and flagging anomalies rather than making unsupported changes • Removing duplicate transaction records using reliable matching criteria • Standardising dates, currencies, numbers, names, and other formats • Checking formulas and formatting after Excel ↔ Google Sheets conversion • Maintaining a clear change log showing removed or modified records • Performing a final field-level and reconciliation check before delivery I understand that your priority is 100% source accuracy and consistency across both platforms. For turnaround per 1,000 rows, I’d prefer to review your sample first because document complexity and the condition of the source data can significantly affect processing time. I can then provide a realistic estimate. I’m ready to complete your sample and demonstrate my validation approach before the full project begins. Best regards, Muhammad Asmar

@nfatima41

Hello, I can accurately organize and clean your financial records in Excel/Google Sheets, verify every entry against the source, remove duplicates, and standardize dates, currencies, numbers, and formatting. I’ll also ensure the workbook works properly in both Excel and Google Sheets and provide a brief change log. My typical turnaround is **1–2 working days per 1,000 rows**, depending on the data complexity. I’m happy to review the sample data and demonstrate my approach. Best Regards, Noor Fatima

@robertb297

Financial records rarely line up cleanly across sources, mismatched date formats and split currency fields are usually where duplicate rows sneak in without anyone noticing. I'd validate every figure against the source documents first, line by line, before touching formatting, then standardize dates, currencies, and naming, and dedupe by transaction ID rather than by row similarity so nothing legitimate gets dropped by mistake. For 1,000 rows of typical financial data, that's usually a 1-2 day turnaround depending on how many source formats are mixed in. I've reconciled scattered financial exports into single clean workbooks before, keeping formulas and formatting intact across both Sheets and Excel, with a change log for anything removed or corrected. A couple of questions before I send a sample: are the source statements all in one currency, and do you have a preferred column structure already, or should I propose one?

@mahrsaad211

Hi, Your financial data needs more than simple data entry; it requires accurate verification, clean formatting, and careful reconciliation. I can collect and organize your records, verify each field against the original sources, remove duplicates, and standardize dates, currencies, and number formats. I work confidently with both Google Sheets and Excel while preserving formulas and formatting across platforms. I typically handle 1,000 rows within 1 - 2 working days depending on source complexity, with a final quality check and clear change log. I’m ready to review your sample data and demonstrate my approach before starting. Best Regards, Muhammad Saad

@ZohaibSathio

Hi, one reconciled workbook out of scattered statements, plus a log of every row I changed. Formatting that survives the Sheets to Excel round trip is the fussy part. How I'd do it: exports into a staging sheet, each row keyed on ID plus date plus amount so duplicates surface, dates and currency normalised by formula not by hand, then a diff pass against the source that writes the change log. How many rows roughly? I've cleaned a few thousand rows of bank exports the same way for a small accounts team. Regards, Zohaib

@nooralneami

Hi, I have hands-on experience with Excel and Google Sheets, particularly transaction entry, financial data cleanup, reconciliation, duplicate checks, and structured spreadsheet review. I can organise the source records into the required format, verify figures against the originals, remove duplicates, flag anomalies, and standardise dates, currencies, number formats, and naming. I’ll also check the final workbook in both Excel and Google Sheets to make sure formulas and formatting remain intact. My validation process includes source-to-sheet cross-checking, duplicate-ID checks, totals reconciliation, and a final row-by-row review. I’ll also provide a concise change log for anything corrected, removed, or flagged. Typical turnaround is about 1 day per 1,000 rows, depending on the source format and level of reconciliation required. I’m also happy to complete the sample data for review before the full project begins. Best, Noor

@ammaramajeed1994

Hi, I can help organize, clean, verify, and reconcile your financial records in Excel or Google Sheets. My approach would be: • Import/enter the source records into the agreed column structure. • Compare each field against the original source documents and flag any discrepancies. • Identify and remove duplicate transaction records without deleting legitimate transactions. • Standardize dates, currencies, number formats, names, and other inconsistent fields. • Use Excel/Sheets formulas and validation checks to identify missing or unusual values. • Test the completed workbook in both Excel and Google Sheets to ensure formulas and formatting remain intact. • Provide a concise change log documenting removed duplicates and meaningful corrections. For a reasonably structured dataset, my typical estimate is approximately 4–6 hours per 1,000 rows. I can refine the estimate after reviewing your sample data and source format. A few questions: 1. Approximately how many total rows are involved? 2. What types of source files will be provided (Excel, CSV, PDF, bank statements, etc.)? 3. Should duplicate detection be based primarily on transaction ID, or should we also compare date, amount, description, and other fields? I’m happy to complete a small sample first so you can review my accuracy and formatting approach before the full project. Thank you.

@manishashree12

Hello there, I understand the importance of accurate financial data management. I will meticulously gather and organize the scattered financial records provided by you into Google Sheets or Excel workbooks. Each figure will be verified against the originals, anomalies will be flagged, and duplicates will be removed. I will ensure consistent formatting across both Google Sheets and Excel to meet your requirements. I am ready to deliver a reconciled workbook along with a change log detailing any alterations made. Looking forward to discussing my validation methods and turnaround time per thousand rows with you. Thanks, Manisha

@UzairPatell

We possess the skills required to gather and organize your financial records into precise Google Sheets or Excel workbooks. Our focus is on delivering data integrity and clarity, ensuring that your final file is perfectly formatted and devoid of duplicates. Notably, we understand the importance of maintaining consistent formatting across both platforms. We can efficiently collect your source statements, verify each figure meticulously, and implement a structured column format that meets your specifications. Our standard turnaround time is approximately 24 hours per thousand rows, but we can adjust this based on your deadlines. To ensure accuracy, we adhere strictly to your acceptance criteria, focusing on field-level accuracy and flagging any anomalies. Could you clarify the preferred column structure for the final workbook? We're eager to discuss this project further and provide valuable insights, regardless of the outcome.

@mariamshaikh018

Hi, a reconciled workbook built from your scattered statements, checked line by line against the originals. Keeping formulas and formatting intact between Sheets and Excel is the tricky part. Could you send a sample file first? I've cleaned up messy exports before, deduping and flagging anomalies with a short change log. Regards, Mariam

@MariyamNasir12

I will consolidate your provided statement exports into a single, agreed column structure and create a clean master workbook compatible with both Google Sheets and Excel. I’ll import each source into a staging sheet, cross-check every figure against originals, flag anomalies in a review tab, de-duplicate by transaction ID and date, normalize date/currency/number formats, and standardize naming conventions. I’ll deliver a reconciled workbook plus a concise change log describing removed or altered records and validation steps taken.

@Digitalizers010

Hi, one reconciled workbook that opens the same in Sheets and Excel, plus a change log for every row we touched. The awkward part is formatting that doesn't survive the trip between the two. How we would do it: your exports land in one staging sheet, dates and currency normalised by a parser, duplicates keyed on transaction ID then date plus amount, every removal written to the change log. A verify pass compares each field to source and flags mismatches rather than silently fixing them. Roughly how many rows? We have cleaned bank statement exports the same way before. Happy to start on a sample slice so you can judge the accuracy. Regards, Digitalizers

@wilmerae

Thank you so much for sharing the details. The key here is not simply entering the records into Excel or Google Sheets-it’s making sure the final workbook can be trusted against the original financial documents. I’d organize the source records into the agreed structure, validate figures field by field against the originals, and flag anything that doesn’t match rather than silently changing it. I’d then check for duplicate transaction IDs and dates, standardize dates, currencies, numbers, and naming, and verify that formulas and formatting remain intact when opened in both Excel and Google Sheets. I’d also keep a clear change log showing what was removed or corrected, making the final reconciliation easy to review. For turnaround, I’d typically target around 1,000 rows per working day, depending on the condition and complexity of the source data. I’d be happy to review your sample first and demonstrate the validation approach before the full job begins.

@shahbaza25

The biggest risk in financial cleanups isn’t typing speed—it’s formulas breaking and date formats flipping when moving between Excel and Google Sheets. That’s exactly what my process prevents. See my extraction tool, DocMind AI (built specifically for this work), in my portfolio: [https://www.freelancer.com/portfolio-items/11474538-docmind-ai-document-processing]. Here is how I will hit your 100% accuracy criteria: • Validation & Math Audit: Every figure is checked against source statements. I run row-level math reconciliation (subtotals + tax = totals) to flag scan discrepancies or blurred figures immediately. • Cross-Platform Integrity: Dates are locked to ISO format (YYYY-MM-DD), so neither platform flips days/months. Numbers stay clean numeric values ($#,##0.00) without ghost characters causing #VALUE! errors. Formulas use universal functions (SUM, SUMIFS, INDEX-MATCH). • Deduplication & Change Log: Exact ID/date matching removes duplicates. Any removed or modified entry is logged with reason in a separate Change Log tab. • Turnaround: 4–6 hours per 1,000 rows. • Question: Are your records mostly scanned PDFs, digital statements, or raw CSV exports? Send a few sample rows—I will format and reconcile them with a change log so you can verify my quality before hiring. Best, Shahbaz

@meerimb

Hello, I’d be happy to help with this project. I am a Certified Internal Auditor and regularly work with financial data in Excel. I will cross-check entries against the source files, reconcile totals, remove duplicates, standardize dates and currencies, and flag any discrepancies. I will also ensure the workbook works correctly in both Excel and Google Sheets. For clear source files, my typical turnaround is 2–3 days per 1,000 rows. Could you please confirm the approximate number of rows and source file formats? Should duplicates be identified primarily by transaction ID, since several valid transactions may share the same date? Best regards, Meerim

@leandrovianacv15

Hello, As a Statistician with a postgraduate degree in Data Science for Finance and seven years of experience, I use Python and Excel to build data cleaning pipelines that ensure high accuracy and seamless formatting across both Google Sheets and Excel. Methodology & Validation: - Systematic checks for duplicate transaction IDs, dates, missing values, outliers and currency/date format inconsistencies. - Flexible, to be finalized after reviewing your sample data. Sincerely, Leandro Viana

@Wonitaf

Hi there, I’ve got a knack for organizing financial data and ensuring every detail shines through. With my experience in data cleanup and management, I’m confident I can meet your expectations for accuracy and formatting. I noticed you need a clean, professional, and user-friendly workbook that retains its structure across Google Sheets and Excel. I’ll make sure to gather and organize your source statements in a clear column structure while verifying each figure against the originals. I typically take about a day to clean up a thousand rows, depending on the complexity. Communication is key for me, so I promise a fast turnaround and quick responses to any questions you have. Let me know if you are available for a quick chat! Regards, Wonita

@RoRo412

I would organize your records into the agreed columns, check each value against the originals, and document corrections and unresolved differences. Duplicate checks would use an agreed transaction key: matching dates alone should not remove valid transactions. My $25 bid covers an initial batch of up to 100 rows and six columns from readable CSV/Excel exports, delivered within two days after sample review, scope agreement and a funded milestone. Deliverables include the workbook, a change log, source-total checks by currency, and compatibility checks in Excel and Google Sheets. Scanned-document transcription, currency conversion and accounting reconciliation are outside this initial quote. I do not yet have a measured turnaround per 1,000 rows for your source format; a small anonymized sample will help me provide a realistic estimate. How many rows/files are involved, and what formats are they in? Which fields uniquely identify each transaction? Does “no duplicate dates” mean duplicate transactions rather than different transactions on the same date? Are any existing formulas required?

@desykristianti09

Hi, I’d be happy to help organize, clean, validate, and reconcile your financial records into a reliable Excel/Google Sheets workbook. I have 3+ years of experience in data entry and bookkeeping, including transaction reconciliation, A/R & A/P tracking, bank/credit card statement reconciliation, and large-volume data cleansing. I’m comfortable working with Excel functions, Pivot Tables, Power Query, and Google Sheets. My approach would be: • Import and structure the source records according to your required columns. • Verify each field against the original source and flag discrepancies before making assumptions. • Standardize dates, currencies, numbers, names, and other formats. • Identify and remove duplicates using transaction IDs and supporting fields I’m also happy to complete your sample test so you can evaluate my accuracy and cleaning methodology before starting the full project. A few questions: What types of source files will be provided (PDF statements, CSV/Excel exports, etc.)? Will transaction IDs be available, or should duplicates also be identified using multiple fields? Do you already have a preferred column structure/template? I’m detail-oriented and would prioritize accuracy over simply completing the volume quickly. I’d be happy to discuss the project further. Thank you Desy