You will get I will clean and analyze your dataset using Python
Project details
Do you need clean, actionable insights from your data — fast? I help businesses and researchers turn raw, messy datasets into meaningful results using Python, Pandas, and data visualization tools.
What sets me apart is my ability to not just analyze data, but explain the findings in a clear, non-technical way — so you actually understand what the numbers are telling you. I hold a Computer Science degree and have built real-world projects including a House Price Prediction ML model and a COVID-19 Health Dashboard.
Every delivery includes a cleaned dataset, a Python notebook, and a summary of key insights. I'm detail-oriented, deadline-driven, and committed to your satisfaction.
What sets me apart is my ability to not just analyze data, but explain the findings in a clear, non-technical way — so you actually understand what the numbers are telling you. I hold a Computer Science degree and have built real-world projects including a House Price Prediction ML model and a COVID-19 Health Dashboard.
Every delivery includes a cleaned dataset, a Python notebook, and a summary of key insights. I'm detail-oriented, deadline-driven, and committed to your satisfaction.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$5
|
Standard
$15
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | Unlimited |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $25
Additional Revision
+$5Frequently asked questions
About Shalom
Data Analyst | Python | Dashboards & Data Insights
Manado, Indonesia - 8:27 am local time
I work with raw datasets using Python, and tools like Streamlit and Plotly, turning messy data into something clear and usable.
I have hands-on experience with real datasets, including an e-commerce order dataset from Olist with more than 100,000 records, where I cleaned the data and built an interactive dashboard to track sales trends, customer behavior, and payment preferences. For a livestream shopping study, I analyzed what drives impulse purchases, time slots, influencer performance, and the effect of discounts and campaigns, then summarized the findings into business recommendations.
My work also includes machine learning, such as a house price prediction pipeline built in Scikit-learn with automated preprocessing, hyperparameter tuning, and SHAP values to explain each prediction.
I am detail-oriented and focused on delivering analysis that actually answers the question you're asking, not just a pile of numbers.
I'm available more than 30 hours a week and usually reply within a day. Send me a message with a bit about your data and what you're trying to figure out.
Steps for completing your project
After purchasing the project, send requirements so Shalom can start the project.
Delivery time starts when Shalom receives requirements from you.
Shalom works on your project following the steps below.
Revisions may occur after the delivery date.
Data Exploration
Understand the dataset structure, check for missing values, duplicates, and outliers.
Data Cleaning
Clean and preprocess the data to ensure accuracy and consistency.