You will get Data Analysis , Data Cleaning

Rizki W.Status: Offline
Rizki W.

Let a pro handle the details

Buy Data Entry & Cleaning services from Rizki, priced and ready to go.
Rizki W.Status: Offline
Rizki W.

Let a pro handle the details

Buy Data Entry & Cleaning services from Rizki, priced and ready to go.

Project details

You will get professional data analysis that transforms raw data into clear insights and actionable recommendations. With over [X years] of experience in data analytics, I specialize in cleaning, organizing, and visualizing data using Excel, SQL, Python, and Power BI.
What sets me apart is my commitment to accuracy, attention to detail, and the ability to explain complex data in a simple, easy-to-understand way. The work I deliver is 100% original, tailored to your business needs, and designed to support data-driven decision making.
Data Tool
Python
What's included
Service Tiers Starter
$100
Standard
$200
Advanced
$750
Delivery Time 2 days 4 days 7 days
Number of Revisions
123
Number of Pages Mined/Scraped
51530
Number of Sources Mined/Scraped
135
Rizki W.Status: Offline

About Rizki

Rizki W.Status: Offline
data analyst,data entry,data science
Mataram, Indonesia - 3:58 pm local time
iam data analysis experience to analysis big data ,An experienced data analyst with a strong background in collecting, analyzing, and interpreting data to help companies make better decisions. Have strong analytical skills, programming skills, and good communication to interpret analysis results to stakeholders.

Steps for completing your project

After purchasing the project, send requirements so Rizki can start the project.

Delivery time starts when Rizki receives requirements from you.

Rizki works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1 – Requirement Gathering

Client purchases the project and provides dataset (Excel, CSV, SQL, etc.). Client explains goals of the analysis (e.g., trends, customer segmentation, forecasting).

Step 2 – Data Cleaning & Preparation

Check data quality, remove duplicates, fix missing values. Organize dataset into a usable format.

Review the work, release payment, and leave feedback to Rizki.