You will get I will clean and automate your Excel data using Python/Pandas

Hnin Shwe Zin H.Status: Offline
Hnin Shwe Zin H.

Let a pro handle the details

Buy Data Entry & Cleaning services from Hnin Shwe Zin, priced and ready to go.
Hnin Shwe Zin H.Status: Offline
Hnin Shwe Zin H.

Let a pro handle the details

Buy Data Entry & Cleaning services from Hnin Shwe Zin, priced and ready to go.

Project details

Stop deleting your valuable data! While many analysts simply remove rows that have missing values or errors, I use a Logic-Based Cleaning approach to recover as much information as possible.

Using a Top-Down Approach, I first analyze the structure of your dataset to understand the relationships between columns. For example, if a "Price" is missing, I don't just guess—I calculate it using "Quantity" and "Total Spent" to ensure accuracy. I specialize in transforming raw, messy files (including those with "ERROR" or "UNKNOWN" entries) into clean, standardized datasets ready for SQL analysis or Power BI dashboards.

My Toolkit:

Python (Pandas) for advanced cleaning and logic-based imputation.

SQL for querying and standardization.

Power BI for ensuring data is visualization-ready.

I don't just focus on making tables look "pretty"; I focus on making your data insightful and actionable. Whether you are dealing with manufacturing downtime logs or retail transaction records, I turn your messy data into a reliable asset.
Data Tool
Python
What's included
Service Tiers Starter
$30
Standard
$60
Advanced
$120
Delivery Time 2 days 4 days 7 days
Number of Revisions
123
Optional add-ons You can add these on the next page.
Fast Delivery
+$20 - $60

Frequently asked questions

Hnin Shwe Zin H.Status: Offline

About Hnin Shwe Zin

Hnin Shwe Zin H.Status: Offline
Senior Data Consultant | Power BI, Azure & Process Automation
Da Lat, Vietnam - 1:28 pm local time
I turn messy operational data into clear financial intelligence. Unlike generalist analysts, I specialize in Industrial Operations and Commercial Strategy. I do not just visualize data; I engineer the backend (Azure/SQL) to ensure your reporting is automated, accurate, and actionable.

Recent Delivery

Operational Automation: Architected a serverless Azure Logic Apps pipeline that reduced a client's manual reporting workload from 12 hours to just 2 minutes per week (99% efficiency gain).

Commercial Intelligence: Modeled complex financial data (Net Profit/COGS) for a 30 location retail chain, identifying critical margin gaps that directly influenced pricing strategy.

Predictive AI: Built a Python based XGBoost risk model achieving 94% ROC AUC accuracy to predict loan defaults.

Tech Stack: Power BI (Fabric), Azure Logic Apps, Python (Pandas/Scikit Learn), SQL, DAX.

Availability: I operate as an independent B2B contractor (AnalyticHub) and am available to start immediately.

Steps for completing your project

After purchasing the project, send requirements so Hnin Shwe Zin can start the project.

Delivery time starts when Hnin Shwe Zin receives requirements from you.

Hnin Shwe Zin works on your project following the steps below.

Revisions may occur after the delivery date.

Data Assessment & Standardization

I load your raw data, identify missing values or "ERROR" entries, and standardize column names and data types (e.g., converting dates) to prepare for cleaning.

Logic-Based Imputation & Cleaning

I fill missing data using logic rather than guessing (e.g., calculating missing Prices based on Quantity/Total Spent) and fix categorical inconsistencies.

Review the work, release payment, and leave feedback to Hnin Shwe Zin.