You will get A/B Testing with MACHINE LEARNING
Project details
I perform a complete A/B Testing analysis using T-Test and Z-Test to measure conversion lift and statistical significance. You receive clean charts, clear insights, and a data-backed recommendation on which version performs better.
Machine Learning Tools
NumPy, PythonWhat's included $120
These options are included with the project scope.
$120
- Delivery Time 2 days
- Number of Revisions 1
- Number of Model Variations 0
- Number of Scenarios 1
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$20
Additional Scenario
(+ 1 Day)
+$20Frequently asked questions
About Guilherme
ML Engineer
Suzano, Brazil - 11:05 pm local time
🚀 I build, train and deploy intelligent systems that transform data into real business impact.
Hi, I’m Guilherme — Specialized in Machine Learning, Deep Learning, and end-to-end AI automation.
🧠 I specialize in:
• Machine Learning model development & optimization
• Deep Learning with TensorFlow, PyTorch & Keras
• Computer Vision, NLP & Data Preprocessing pipelines
• AI-powered automation & predictive analytics
⚙️ My workflow:
I analyze your problem, design a tailored AI solution, and provide clear progress updates —
so you always understand the results and their real-world impact.
Every project I build is production-ready, from training to deployment.
✨ Let’s bring your vision to life with precision, clarity, and cutting-edge technology.
by Guilherme | ML Engineer
Steps for completing your project
After purchasing the project, send requirements so Guilherme can start the project.
Delivery time starts when Guilherme receives requirements from you.
Guilherme works on your project following the steps below.
Revisions may occur after the delivery date.
Upload your A/B test data.
Send two datasets (A and B) or one dataset with a group column, plus conversions or visits.
Data cleaning and preparation.
I validate sample sizes, remove inconsistencies, and prepare groups for statistical testing.