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I’m a data-driven problem solver with a background in Python development, data science, and AI prompt engineering. My experience spans from designing end-to-end analytics solutions and automation pipelines to crafting data for AI model training and evaluation. I’ve worked with diverse datasets, building tools that turn complex information into clear, actionable insights. Whether it’s optimizing processes through automation, interpreting data to inform decisions, or improving AI model performance, I thrive on using technology to make systems smarter and more efficient.…I’m a data-driven problem solver with a background in Python development, data science, and AI prompt engineering. My experience spans from designing end-to-end analytics solutions and automation pipelines to crafting data for AI model training and evaluation. I’ve worked with diverse datasets, building tools that turn complex information into clear, actionable insights. Whether it’s optimizing processes through automation, interpreting data to inform decisions, or improving AI model performance, I thrive on using technology to make systems smarter and more efficient.

Jonathan Ludolph

Data Analyst, Database Developer, Back-End Developer

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I’m a data-driven problem solver with a background in Python development, data science, and AI prompt engineering. My experience spans from designing end-to-end analytics solutions and automation pipelines to crafting data for AI model training and evaluation. I’ve worked with diverse datasets, building tools that turn complex information into clear, actionable insights. Whether it’s optimizing processes through automation, interpreting data to inform decisions, or improving AI model performance, I thrive on using technology to make systems smarter and more efficient.…I’m a data-driven problem solver with a background in Python development, data science, and AI prompt engineering. My experience spans from designing end-to-end analytics solutions and automation pipelines to crafting data for AI model training and evaluation. I’ve worked with diverse datasets, building tools that turn complex information into clear, actionable insights. Whether it’s optimizing processes through automation, interpreting data to inform decisions, or improving AI model performance, I thrive on using technology to make systems smarter and more efficient.

Available to hire

I’m a data-driven problem solver with a background in Python development, data science, and AI prompt engineering. My experience spans from designing end-to-end analytics solutions and automation pipelines to crafting data for AI model training and evaluation.

I’ve worked with diverse datasets, building tools that turn complex information into clear, actionable insights. Whether it’s optimizing processes through automation, interpreting data to inform decisions, or improving AI model performance, I thrive on using technology to make systems smarter and more efficient.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Beginner

Beginner

Beginner

Beginner

Language

English

Fluent

French

Intermediate

German

Intermediate

Work Experience

AI Code Evaluation and Annotation at Outlier.ai

May 1, 2024 - Present

Evaluated and analyzed the quality of AI-generated code; engineered data-driven GenAI prompts to identify model failures and annotate AI-generated responses for accuracy and improvement of industry-leading LLMs such as ChatGPT and Claude/Sonnet.

Data Scientist at Equiniti (EQ Retirement Services)

April 30, 2024 - October 22, 2025

Project Management: Led the design and implementation of end-to-end data science projects, including requirements gathering, data extraction, data discovery, data cleaning, analysis, and dashboard building. Customer Feedback Analysis: Conducted topic modelling of over 1000 customer feedback responses monthly using a custom NLP model to identify key issues and inform strategic bug fixes, resulting in a 75% reduction in resolution time. Automation and Efficiency: Developed Python data pipelines for task automation, achieving a 60% reduction in project delivery time.

Data Analyst at Equiniti (EQ Data)

January 1, 2022 - October 22, 2025

Data Pipeline Creation: Established Python pipelines for ETL and visualization for existing projects that were previously carried out manually. Demographic and Employment Analysis: Modelled national demographics and employment trends to assess remote work viability for specific roles as part of a four-person team. Data Cleaning and Anonymization: Wrote in-house Python modules for cleaning and anonymizing unstructured data (emails) while ensuring data integrity and privacy. Dashboard Development: Created dashboards and visualizations to track internal HR metrics such as retention, turnover, and employee journey costs to present analytical findings to stakeholders.