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You will get Integrated Data Science Toolkit: Expert Predictive Modeling
Rising Talent

Rising Talent

Project details
This project aims to leverage the synergistic capabilities of Python, R, and Stata to develop comprehensive predictive models and conduct detailed regression analyses. By integrating diverse but complementary tools and languages, we aim to address complex data science challenges with a focus on accuracy, efficiency, and scalability.
Machine Learning Tools
MATLAB, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Stata, TensorFlowWhat's included $299
These options are included with the project scope.
$299
- Delivery Time 4 days
- Number of Revisions 1
- Number of Model Variations 2
- Number of Scenarios 2
- Number of Graphs/Charts 5
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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About Mohamed Aziz
Data Scientist | SQL, BigQuery, Looker, Product Analytics
100%
Job Success
Miami, United States - 8:58 am local time
In the past, I designed a full data warehouse integrating Shopify, GA4, and Stay AI through a custom Airbyte connector to track MRR, churn, and LTV by product. My work identified billing-cycle inflection points where retention drops, guiding pricing and discount strategy.
I also co-authored research for Upwork Research Institute, analyzing how AI reshaped freelance work and revealing a 268% YoY rise in non-technical AI roles featured in major industry reports.
Steps for completing your project
After purchasing the project, send requirements so Mohamed Aziz can start the project.
Delivery time starts when Mohamed Aziz receives requirements from you.
Mohamed Aziz works on your project following the steps below.
Revisions may occur after the delivery date.
Data handling and processing
Utilize Apache Spark for handling large-scale data processing, complemented by pandas in Python for meticulous data manipulation and cleaning.
Model Development and Prediction
Employ Python's comprehensive libraries (like Scikit-Learn, NumPy, and pandas) along with R's statistical capabilities to develop predictive models. Incorporate advanced algorithms using TensorFlow and PyTorch for more complex data analyses.





