You will get Professional Data Cleaning & Preprocessing Service
Project details
I developed a personal program to build a foundation about data analysis. It is including data upload, data process with different interpolation methods (constant statistic value like average or mod,etc, polynomial interpolation method, moving average interpolation method, group interpolation method and so on), data outlier, data visualization with diagrams, and analysis report. My work can provide a full-project program for data cleaning and data process, further more, including analysis report about data summary, data distribution, result explanation about different analysis methods like multiple regression analysis, single factorial analysis, one-way ANOVA, MANOVA, frequencies analysis. etc.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 1 | 3 | 5 |
Number of Pages Mined/Scraped | 0 | 1 | 3 |
Number of Sources Mined/Scraped | 0 | 1 | 1 |
Frequently asked questions
About Louise
Data Analyst | Excel Dashboard | Data Cleaning | Business Insights
Tianjin, China - 4:36 am local time
With 6+ years of experience in data analysis, and Python automation, I specialize in projects where:
Data comes from multiple inconsistent sources
Corporate action records need verification against reliable public sources
Company names vary over time (mergers, renaming, abbreviations)
Split/bonus ratios need to be standardized
Clean, audit-ready logs are required
✨ What I Can Do for Your Project
✔ Clean & normalize Excel/CSV datasets
✔ Validate corporate action events via NSE/BSE/company filings
✔ Identify incorrect or missing events
✔ Standardize split/bonus factors (1:2, 2-for-1, 0.1 etc.)
✔ Fix inconsistent or wrong company names
✔ Fuzzy matching for name variants
✔ Build reusable Python scripts for bulk verification
✔ Provide complete audit logs with before → after corrections
✔ Prepare client-ready reports in Excel or PDF
✨ Tools & Skills
Python (pandas, numpy, regex, rapidfuzz)
Excel advanced functions
Data validation & audit workflows
Company filings / corporate action retrieval
Financial dataset cleaning
Report writing & documentation
PowerBI / Business reporting tools
✨ What You’ll Receive
Cleaned and verified master CSV/Excel file
Verification status for each row (Confirmed / Corrected / Not Found)
Evidence URLs or references for corrected items
Log of changes with clear explanations
Optional automation script for future use
✨ Why Clients Hire Me
Detail-oriented
Finance-aware data analyst
Accurate, reliable and consistent
Great at ambiguous / inconsistent data
High communication standard
Deliverables ready for compliance or internal review
If you're dealing with messy datasets, inconsistent company names, or corporate action records that need to be double-checked, I can help — and I respond quickly.
Steps for completing your project
After purchasing the project, send requirements so Louise can start the project.
Delivery time starts when Louise receives requirements from you.
Louise works on your project following the steps below.
Revisions may occur after the delivery date.
data upload
Using my program to upload different type data, and transform them into standard format data frame with python
data process
Using my program to process data with unique method or your requirement to fill the null data and eliminate outliers