You will get cleaned Excel or CSV data with a clear summary report
Project details
You will get a clean, organized, and analysis-ready Excel or CSV file with a clear summary report showing what was fixed, removed, flagged, and improved.
I help clean messy spreadsheets, remove duplicates, fix formatting issues, standardize dates/numbers/text, highlight missing or invalid values, and prepare files for reporting, CRM import, dashboards, or further analysis.
My background is in fraud investigation, audit, risk analysis, data review, dashboarding, and business reporting. So I do not only clean the file visually — I also look for data quality issues that can cause wrong totals, duplicate records, reporting errors, and business confusion.
This project is useful for sales data, customer lists, transaction exports, product data, CRM files, Google Sheets, Excel reports, and monthly business files.
Depending on the package, I can deliver a cleaned file, duplicate removal, standardized columns, missing value flags, issue log, and summary report.
Your data will be handled carefully and confidentially.
I help clean messy spreadsheets, remove duplicates, fix formatting issues, standardize dates/numbers/text, highlight missing or invalid values, and prepare files for reporting, CRM import, dashboards, or further analysis.
My background is in fraud investigation, audit, risk analysis, data review, dashboarding, and business reporting. So I do not only clean the file visually — I also look for data quality issues that can cause wrong totals, duplicate records, reporting errors, and business confusion.
This project is useful for sales data, customer lists, transaction exports, product data, CRM files, Google Sheets, Excel reports, and monthly business files.
Depending on the package, I can deliver a cleaned file, duplicate removal, standardized columns, missing value flags, issue log, and summary report.
Your data will be handled carefully and confidentially.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 2 |
About Ankur
AI Automation & Fraud/Risk Data Analyst | Python, Excel, Dashboards
Pune, India - 11:01 am local time
My background is in fraud investigations, risk analysis, audit, forensic investigation support, and business data review across Amazon, MitKat Advisory supporting Google GSRS, and BNY Mellon. I have worked on investigation analytics, anomaly detection, high-risk case prioritization, dashboarding, process review, and fraud prevention workflows.
I can help with:
- Data analysis and reporting
- Excel / Google Sheets analysis
- Python-assisted data cleaning and automation
- Dashboard creation and business insights
- Fraud detection and risk pattern analysis
- Data extraction, web scraping, and document automation
- ChatGPT / AI workflow automation
- Shopify or business data review to find leakage, errors, and inefficiencies
My strength is not just cleaning data or creating charts. I investigate the data to find patterns, gaps, risks, repeated issues, and hidden money leaks — then turn them into clear action points.
Relevant experience includes fraud and spend investigation, audit analysis, forensic investigation support, dashboarding, root cause analysis, process improvement, and AI-assisted analytical workflows.
If you need someone who can combine investigation thinking, data analysis, automation, and business problem-solving, I can help.
Steps for completing your project
After purchasing the project, send requirements so Ankur can start the project.
Delivery time starts when Ankur receives requirements from you.
Ankur works on your project following the steps below.
Revisions may occur after the delivery date.
Review the file and requirements
I will review your file structure, columns, formatting issues, duplicates, missing values, and any special cleaning rules you provide.
Clean and standardize the data
I will remove duplicates, fix formatting issues, standardize column names, clean dates/numbers/text, and flag missing or invalid values.