You will get Comprehensive Data Cleaning and Analysis for Actionable Insights
Project details
You will get a meticulously cleaned and analyzed dataset that provides actionable insights, helping you make data-driven decisions to drive your business forward. With extensive experience in data science, machine learning, and web scraping, I bring a methodical approach to every project. The work I deliver is accurate, high-quality, and tailored to meet your specific needs. Whether it's cleaning raw data, performing detailed analysis, or developing predictive models, I ensure that you receive comprehensive and valuable insights.
Data Tool
pandasWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 5 | 15 | 30 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60
Additional Revision
+$20
Additional Page Mined/Scraped
+$15
Additional Source Mined/Scraped
+$15Frequently asked questions
About Ean
Data Analyst & Python Developer | Financial Dashboards, ETL Pipelines
Santo Domingo, Dominican Republic - 3:35 am local time
My background in quantitative finance means I don't just visualize numbers, I understand what they mean for your bottom line.
What I deliver:
interactive dashboards (Power BI, Streamlit, Metabase), ETL pipelines that clean and structure your data automatically, financial analysis and forecasting models, and process automation that saves hours of manual work every week.
How I work:
fast communication, clean documented code, and delivery on time. I start every project by understanding your business goal first, then build the simplest solution that gets you there. Available for both one-time projects and ongoing support.
Steps for completing your project
After purchasing the project, send requirements so Ean can start the project.
Delivery time starts when Ean receives requirements from you.
Ean works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation
Meet with the client to discuss the project scope, understand their requirements, and gather any necessary data and materials.
Data Collection and Preparation
Collect data from the provided sources and perform initial cleaning to remove duplicates, handle missing values, and standardize formats.