You will get Statistical Analysis & Modeling in R or Python


Project details
As a seasoned data professional with a strong background in statistics and programming, I specialize in delivering high-quality statistical analysis and modeling using R or Python. My projects stand out for their precision, clarity, and tailored approach, ensuring your unique needs are met. Whether you need exploratory data analysis, hypothesis testing, or advanced modeling like regression or time series, I provide clean, well-documented scripts and comprehensive reports.With extensive experience across various industries and datasets, I can adapt to your specific requirements.
Machine Learning Tools
Amazon SageMaker, Databricks Platform, MLflow, Python, RWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 7 days
- Number of Revisions Unlimited
- Number of Model Variations 3
- Number of Scenarios 3
- Number of Graphs/Charts 3
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$50About Joao
Data Scientist | Machine Learning Engineer
Sao Carlos, Brazil - 12:58 am local time
As a consultant, I focus on mapping, developing, documenting, and maintaining machine learning-based systems. I hold a bachelor's degree in Statistics and a specialization in Data Science. Currently, I am dedicated to studying and applying best practices in MLOps and developing products leveraging Large Language Models (LLMs).
Primary Tech Stack: Python, R, AWS, Azure, SQL
Steps for completing your project
After purchasing the project, send requirements so Joao can start the project.
Delivery time starts when Joao receives requirements from you.
Joao works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation and Data Review
Discuss project goals, dataset details, and specific requirements. Review the provided dataset for completeness and clarity.
Exploratory Data Analysis (EDA)
Perform data cleaning and preprocessing. Conduct EDA to identify trends, patterns, and outliers.