You will get cute and nice pixel art
Project details
I will draw for you a cute character in my pixel art style. You have 3 option to choose:
Small (Max 32 x 32 px): Perfect for chibi characters, icons, emotes or for a retro game style
Medium (Max 64 x 64 px) . Good for fanart, portraits and Ocs
Large (Max 128x128). Perfect for a detailed portrait, fanart, a nice background or wallpaper.
All three option are delivered on a scaled HD version and the original.
Small (Max 32 x 32 px): Perfect for chibi characters, icons, emotes or for a retro game style
Medium (Max 64 x 64 px) . Good for fanart, portraits and Ocs
Large (Max 128x128). Perfect for a detailed portrait, fanart, a nice background or wallpaper.
All three option are delivered on a scaled HD version and the original.
Illustration Type
AnyIllustration Style
Pixel ArtFile Format
PNG, JPGWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 2 days |
Number of Figures | 1 | 1 | 1 |
Number of Revisions | 2 | 2 | 3 |
Source Files | |||
High Resolution | |||
Background/Scene | - | - | - |
Color | |||
Full Body | - | - | - |
Commercial Use | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
Background/Scene
(+ 1 Day)
+$15Frequently asked questions
About Rafael
Statistician & Data Scientist | Machine Learning | Python & R
Caracas, Venezuela - 1:57 pm local time
My academic background gives me a strong foundation in probability, statistical modeling, optimization, and computational methods, which I apply to solve real-world problems in data analysis, machine learning, and predictive modeling.
* Core Skills:
- Statistical Analysis, Hypothesis Testing, Econometrics
- Machine Learning & Deep Learning (classification, regression, clustering, forecasting)
- Numerical Analysis & Math Modeling
- Data Wrangling & Automation (Python, R, SQL, Pandas, NumPy)
- Data Visualization & BI (Matplotlib, Seaborn, ggplot2, Power BI, Tableau, Shiny)
- Financial & Portfolio Analysis (Markowitz Optimization, CAPM, risk-return modeling)
- Tools & Frameworks: TensorFlow, scikit-learn, PyPortfolioOpt
* Example Projects:
- 🐶 Developed a CNN to classify cats vs dogs with >80% accuracy (TensorFlow).
- 🎶 Analyzed Eurovision voting patterns with R using regression, clustering, and t-SNE.
- 📊 Implemented Portfolio Optimization for S&P 500 assets with Efficient Frontier and CAPM validation.
- 📈 Built dashboards for exploratory data analysis and financial insights.
* Why hire me?
- Strong academic foundation in **Applied Mathematics** with a focus on Statistics and Computational Methods.
- Hands-on experience with projects combining theory, coding, and data storytelling.
- Clear communication, reproducibility, and commitment to high-quality, actionable results.
I am passionate about helping clients unlock the power of data through rigorous statistical methods and modern machine learning tools.
📩 Let’s collaborate on your next data-driven project!
Steps for completing your project
After purchasing the project, send requirements so Rafael can start the project.
Delivery time starts when Rafael receives requirements from you.
Rafael works on your project following the steps below.
Revisions may occur after the delivery date.
Send characters design ideas
I send an image file with all the ideas I have for the character design and the client tell me with one they desire.