Open to opportunities

Sean Ackermann Erke

@seanackermannerke

Message

I build reliable analytics pipelines and risk-validation workflows for automotive and financial-services data.

Germany

Message

What I'm looking for

I'm looking for data analytics, data engineering, risk analytics, or financial-services work where I can build scalable pipelines, improve data quality, support model validation, and apply AI and statistical methods.

At IAV GmbH, I develop Python and Java reporting solutions for Volkswagen Group root-cause analysis, maintain ETL pipelines for high-voltage battery field data, and improve data quality, privacy, and API-based enrichment workflows.

I've also supported Volkswagen Financial Services with LGD loss databases, SAS and SQL validation pipelines, threshold schemes, and quantitative credit-risk model validation. Alongside my work, I'm completing an MSc in Applied Artificial Intelligence, with projects in multimodal transcription, AI fairness, relation extraction, and time-series forecasting.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst, Data Analytics & Frameworks

Current

IAV GmbH

Sep 2023 - Present (2 years 11 months)

Develops reporting solutions using Python and Java for Volkswagen Group root cause analysis. Maintains and enhances ETL pipelines for high-voltage battery field data analysis, and integrates GDPR-compliant VIN anonymization.

Python Java ETL Data Quality GDPR API Integration Jira Bitbucket GitHub Confluence

Working Student, Risk Management - Models & Collateral

Volkswagen Financial Services AG

Jun 2023 - Sep 2023 (3 months)

Built a loss database supporting credit risk analytics and LGD data management. Implemented validation pipelines in SAS Enterprise Guide and SQL, and defined threshold schemes for data quality assurance.

SAS Enterprise Guide SQL Credit Risk LGD Data Quality

Bachelor Thesis Student

Volkswagen Financial Services AG

Mar 2023 - Jun 2023 (3 months)

Completed bachelor thesis on quantitative validation methods for credit risk parameter models using the example of an automotive bank. Analyzed model validation approaches and statistical methods.

Credit Risk Model Validation Statistical Methods

Risk Management Intern, Models & Collateral

Volkswagen Financial Services AG

Sep 2022 - Mar 2023 (6 months)

Contributed to the creation of a loss database for Loss Given Default, including data preparation and validation support. Assisted with analytical tasks supporting credit risk modeling and data governance.

Data Preparation Validation Credit Risk Data Governance

Education

Degrees, certifications, and relevant coursework

South Westphalia University of Applied Sciences

Master of Science, Applied Artificial Intelligence

Grade: 1.7

Pursuing a Master of Science in Applied Artificial Intelligence with a current grade of 1.7. Coursework includes projects on multimodal context-aware transcription, AI fairness, text mining, and time-series forecasting.

University of Applied Sciences Hannover

Bachelor of Science, Applied Mathematics - Business Intelligence

Grade: 1.4

Bachelor of Science in Applied Mathematics with a focus on Business Intelligence, graduating with a grade of 1.4. Academic work included the One-Factor Merton Model and Cayley's formula.