You will get Data Cleaning & Analysis Report
Project details
Messy data leads to poor decisions. I will clean, structure, and analyse your dataset using tools like Excel, SQL, or Python to ensure accuracy and usability.
What you’ll get:
• Duplicate removal & error correction
• Standardised and structured datasets
• Exploratory data analysis with insights
• Customised summary reports with recommendations
Best for: CRM data, sales logs, survey data, business operations data
What you’ll get:
• Duplicate removal & error correction
• Standardised and structured datasets
• Exploratory data analysis with insights
• Customised summary reports with recommendations
Best for: CRM data, sales logs, survey data, business operations data
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$40
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 1 day |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25
Additional Revision
+$10Frequently asked questions
About Rohit
Data Analyst | Power BI | Data Cleaning & Predictive Analytics
New Delhi, India - 2:26 am local time
I help businesses make smarter, data-driven decisions by:
- Cleaning, structuring, and analysing complex datasets
- Building insightful dashboards (Power BI, Excel)
- Applying statistical methods and Lean Six Sigma principles to identify inefficiencies
- Creating predictive models to forecast trends and support strategic planning
My background in both business operations and the event/education industries allows me to bridge the gap between data and business strategy. I ensure that insights are not just numbers but clear recommendations that drive measurable impact.
Steps for completing your project
After purchasing the project, send requirements so Rohit can start the project.
Delivery time starts when Rohit receives requirements from you.
Rohit works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & scope
Gather dataset(s), key fields, objectives, required outputs, and any business rules. Output: brief requirements summary + access checklist.
Data ingestion & inventory
Import Excel/CSV or connect to DB; consolidate sources and capture schema. Output: data inventory (sheet list, row counts, sample rows).