You will get Cleaned Data and a Clear Insight Report From Your Dataset
Rising Talent
Rising Talent
Project details
I help teams clean their datasets and understand what the numbers really mean. I’ve worked with large analytical environments using Python, Pandas, SparkSQL, and Databricks, cleaning and exploring datasets with millions or billions of rows. For this project, I apply the same care and methods to your file, whether it’s small or mid-sized.
The Starter tier includes cleaning one dataset, fixing common issues (formats, missing values, duplicates), checking basic distributions, and providing two simple charts.
The Standard tier includes up to three files or a larger dataset, deeper exploratory analysis, summary statistics, four charts, and a short insight report.
The Advanced tier is for multiple files or more complex datasets. It includes full EDA, detailed distributions, six charts, pattern detection, and practical recommendations.
Not included: data scraping, web mining, large database integrations, model training, or building dashboards. If you need something more advanced, I can help you scope a custom project.
All deliveries include clear, easy-to-read results and friendly communication throughout the process.
The Starter tier includes cleaning one dataset, fixing common issues (formats, missing values, duplicates), checking basic distributions, and providing two simple charts.
The Standard tier includes up to three files or a larger dataset, deeper exploratory analysis, summary statistics, four charts, and a short insight report.
The Advanced tier is for multiple files or more complex datasets. It includes full EDA, detailed distributions, six charts, pattern detection, and practical recommendations.
Not included: data scraping, web mining, large database integrations, model training, or building dashboards. If you need something more advanced, I can help you scope a custom project.
All deliveries include clear, easy-to-read results and friendly communication throughout the process.
Data Tool
SQLWhat's included
| Service Tiers |
Starter
$90
|
Standard
$180
|
Advanced
$320
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 0 | 0 | 0 |
Number of Sources Mined/Scraped | 0 | 0 | 0 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$30
Additional File Cleaned
(+ 2 Days)
+$50
Extra Charts
(+ 2 Days)
+$30
Notebook Delivery
(+ 2 Days)
+$75Frequently asked questions
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CD
Canva D.
Nov 27, 2025
Power Analysis and Effect Size Python
About Ivan
ML Engineer | LLM Automation | Data Scientist Python | EDA & Forecast
Lima, Peru - 9:19 pm local time
If you need someone who can look at your data, understand the business problem, and turn it into something useful (clean insights, a small model, a simple automation, or an internal AI tool) I can help. My style is collaborative and practical. I explain things in clear, human language, even when they are technical, and I always try to make the solution fit your real workflow.
What I can do for you:
- Build small ML and forecasting models (Python, scikit-learn, statsmodels)
- Clean, analyze and visualize datasets, identify trends or issues
- Create LLM-based tools using OpenAI API or local models (classification, assistants, summarization, Q&A)
- Automate repetitive analytics tasks (FastAPI, simple pipelines, scripts)
How I work:
* I like to keep things lightweight and easy to iterate
* I explain what I'm doing as we go, step by step
* I share notebooks, code, or API endpoints in a clear way so you can reuse them
* I communicate early if something needs clarification (English, Spanish, Portuguese)
Tech stack:
Python, Pandas, scikit-learn, statsmodels, FastAPI, Databricks, SQL, Jupyter, OpenAI API, REST APIs, data cleaning and EDA, dashboards, simple ETL.
Before focusing on data science and ML, I spent several years in tech and consulting (Accenture, KPMG, PMO leadership). That experience helps me collaborate well with founders, marketing teams, and product groups, mixing the technical side with the business side.
If your project needs a mix of analysis, code, AI-automation, and clear communication, I'd be happy to support you. Just tell me what you're trying to achieve, and we can explore the best way to build it together.
Steps for completing your project
After purchasing the project, send requirements so Ivan can start the project.
Delivery time starts when Ivan receives requirements from you.
Ivan works on your project following the steps below.
Revisions may occur after the delivery date.
Review Your Dataset and Goals
I start by reviewing your dataset, understanding the column meanings, and confirming the issues you want addressed. I also check your expected insights so the analysis matches your goals.
Clean and Prepare the Data
I clean the dataset by fixing formats, removing duplicates, handling missing values, checking distributions, and detecting outliers. I make sure the data is consistent, reliable, and ready for analysis.