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Synthetic Data Generation

$5/hr Starting at $25

Need high-quality data for research, testing, or data analysis? I specialize in synthetic data generation, helping researchers, startups, and businesses get large datasets without delays. ✔️ Service: Synthetic Data Generation — customizable by size, format, and constraints, perfect for research projects, machine learning, and software testing etc. ✔️ Automation-Driven Delivery: I use Python automation pipelines for speed and scalability. 📩 Please message me to unlock the full potential of your data!

Please contact to discuss your requirements. If you provide information, such as number of files needed, number of rows of data, sample data etc, I can develop CSV/Excel/Parquet files of synthetic data, up to 20 million rows and 30 columns/features for a single file. I can also develop multi-table relational data, in the form of an Excel file with multiple related sheets. Additionally, I offer to translate the output from US English to other languages, using the Python library ArgosTranslate. Note that this is auto-translation so accuracy is limited to the capabilities of the open-source library itself.

Generally, as for requirements from the client aside from the sample data, I will need the following info at bare minimum for a dataset to generate: Single Table or Multi-Table Relational Data? Required Output Format (CSV or Excel or Parquet)? Number of rows of data to generate? Single table can be max 20M rows and 30 columns. Multi-table can be up to 60K rows and 15 columns in the largest sheet. The sheets will maintain the same ratios of numbers of rows between sheets as in the sample data. If you need language translation, will need to know Input and Target Languages. Here is a document explaining all these requirements more in-depth.

As additional requirements, if you need some strict constraints or other customization for the data when generating, please read this document. This will help you use this other document to build a schema document for your data, which can be used to add constraints and inter-table relationships etc. Download a copy of the 2nd document, edit according to your needs using the 1st document, and share with me. 

If you do not have access to your own sample data, I have my own domain templates that you can view and I can generate data similar to them. You may view my templates in the sub-folders in this google drive folder.

If you don't have sample data and need custom data different from my offered domain templates, I can also develop data from scratch. For this, I will need you to read through this guide document. Use this as a guide to edit a downloaded copy of this schema document. Then please share your edited version. Note that this method can only be used for one file/table dataset at a time.

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$5/hr Ongoing

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Need high-quality data for research, testing, or data analysis? I specialize in synthetic data generation, helping researchers, startups, and businesses get large datasets without delays. ✔️ Service: Synthetic Data Generation — customizable by size, format, and constraints, perfect for research projects, machine learning, and software testing etc. ✔️ Automation-Driven Delivery: I use Python automation pipelines for speed and scalability. 📩 Please message me to unlock the full potential of your data!

Please contact to discuss your requirements. If you provide information, such as number of files needed, number of rows of data, sample data etc, I can develop CSV/Excel/Parquet files of synthetic data, up to 20 million rows and 30 columns/features for a single file. I can also develop multi-table relational data, in the form of an Excel file with multiple related sheets. Additionally, I offer to translate the output from US English to other languages, using the Python library ArgosTranslate. Note that this is auto-translation so accuracy is limited to the capabilities of the open-source library itself.

Generally, as for requirements from the client aside from the sample data, I will need the following info at bare minimum for a dataset to generate: Single Table or Multi-Table Relational Data? Required Output Format (CSV or Excel or Parquet)? Number of rows of data to generate? Single table can be max 20M rows and 30 columns. Multi-table can be up to 60K rows and 15 columns in the largest sheet. The sheets will maintain the same ratios of numbers of rows between sheets as in the sample data. If you need language translation, will need to know Input and Target Languages. Here is a document explaining all these requirements more in-depth.

As additional requirements, if you need some strict constraints or other customization for the data when generating, please read this document. This will help you use this other document to build a schema document for your data, which can be used to add constraints and inter-table relationships etc. Download a copy of the 2nd document, edit according to your needs using the 1st document, and share with me. 

If you do not have access to your own sample data, I have my own domain templates that you can view and I can generate data similar to them. You may view my templates in the sub-folders in this google drive folder.

If you don't have sample data and need custom data different from my offered domain templates, I can also develop data from scratch. For this, I will need you to read through this guide document. Use this as a guide to edit a downloaded copy of this schema document. Then please share your edited version. Note that this method can only be used for one file/table dataset at a time.

Skills & Expertise

AlgorithmsData AnalysisData ModelingEnglish LanguageMachine LearningMathematicsMicrosoft ExcelPythonRequirements AnalysisSpreadsheetsTemplates

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