Benjamin Aunkofer

Expert for Enterprise AI (Artificial Intelligence) as well as for Process Mining and Business Intelligence on Cloud-agnostic Data Platforms.

What I Do

Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

Process Mining

Process mining is a technique designed to discover, monitor and improve real processes (i.e., not assumed processes) by extracting readily available knowledge from the event logs of information systems.

Data Strategy

Data Strategy describes a set of choices and decisions that together, chart a high-level course of action to achieve high-level goals.

Cloud Data Engineering

Cloud data engineering is the process of retrieving, cleaning, transforming, and storing data in the cloud to support the ongoing data and reporting needs of your decision makers.

Artificial Intelligence (AI)

Artificial Intelligence (AI) is the key success factor for competitiveness and helps executives and managers not just to make best business decisions, but also to execute the business with full-automation.

Trainings & Seminars

I train employees to apply the basics of Data Science, whether in purchasing, controlling, sales, production, quality or risk management! And also Executives who need to understand and apply the basics of Big Data securely.

Author Profiles

Hard Skills

Programming Languages:
C#, Python

SQL Server (T-SQL)
Oracle DB (PL/SQL), MySQL, PostgreSQL, snowflake, 
Neo4J (Cypher).

Big Data Tools:
Azure Synapse, Databricks, (Apache Spark).


Data & AI:
Enterprise AI, LLM, NLP,
Deep Learning, BI, Cloud,
Process Mining.

Business Intelligence:
MS Power BI, Tableau, MicroStrategy, QlikSense & many more.

Process Mining:
Event Logs, Celonis, UiPath, Signavio & many more.

Web Sites

Data Science Blog
DATANOMIQ Independent Data Solutions
AUDAVIS Audit Analytics



  • Business Intelligence
  • Process Mining
  • Data Science
  • Artificial Intelligence
  • Cloud Compiuting
  • Team Building
  • Project Management
  • Data Strategy

Big Data Engineering

Big Data | Data Engineering | Data Governance


Data Warehousing | Reporting | Ad-Hoc Analysis


Process Transparency | Process Audit | Process Optimization


Applied Statistics | Machine Learning | Deep Learning

Interim Management Positions

6 months

Chief Data Engineer / Scientist

Data Engineering & Science @ Gebauer & Griller
Cloud Data Platform on MS Azure and Data Analytics / Science for Supply Chain Management.

15 months

Project Manager for Audit & Forensic

Project Management @ KPMG
Tool introduction and governance of tools for audit and forensic.

5 months

Head of Data Engineering

Head of Data Engineering @ SellerX
Project Management of Migration from MS Azure BI System to snowflake, dbt, AWS.

4x Data Engineers

5 months

Data Science Success Manager

Data Science Manager @ MunichRe
Project Management for Data Science Deployment, MLOp, NLP, Computer Vision Use Cases, Linux, CI/CD, REST APIs

2x Data Scientists

10 months

Interim Head of Data

Business Intelligence @ KW Commerce GmbH
Lead of 2x Data Engineers, 3x Data Analysts, 2x Software Engineers
Azure Cloud & Services, MS PowerBI, Python


Interim Manager for Process Mining

Project Management @ Merck Group
O2C/P2P Process Analysis, SAP ECC, SAP Hana, Celonis, PAFNow, Mehrwerk Process Mining

8 months

Interim Head of Business Intelligence & Analytics

Business Intelligence @ Mister Spex GmbH
Lead of 5x Data Engineers, 3x Data Analysts, 2x Data Scientists
Microsoft SQL Server, Azure Cloud & Services, MS PowerBI, Python

12 months

Interim Head of Business Intelligence

Business Intelligence @ Chal-Tec GmbH
Lead of 2x Data Engineers, 3x Data Analysts
Microsoft SQL Server on-premise, QlikSense

4 months

Data Analytics Consultant

Data Warehouse @ Deutsche Bank in Frankfurt am Main
Oracle DB, MicroStrategy, Excel


Trainings for Enterprises

Benjamin Aunkofer ist Trainer für Business Intelligence, Process Mining und Data Science für Unternehmen aus verschiedenen Branchen.

University Profiles

Lehrbeauftragung @HTW Berlin

Lecturer for Data Strategy
Business Administration and Engineering

Lehrbeauftragung @FHM Berlin

Lecturer for Data Science & Big Data 
(General Technology Management)

Lehrbeauftragung @ Digital Business University

Lecturer for Deep Reinforcement Learning 
(Data Science / AI)

Bachelor & Master Thesis of my students

    • Cryptocurrency Price Prediction Using Machine Learning
      Techniques with Quantitative and Qualitative Analysis

      ♦ Master of Business Administration – 2023

    • Digitalisierung des Mitarbeitereinstellungs- und Onboarding-Prozesses durch Integration der bestehenden ERP-, HR- und DMS-Systeme sowie einer externen Signaturlösung
      (Digitalisation of the employee recruitment and onboarding process through integration of the existing ERP, HR and DMS systems as well as an external signature solution)

      ♦ Bachelor of Science – 2021/2022
    • Analyse von SAP-Hana Klassifikationsalgorithmen anhand ausgewählter Kaggle-Beispiele (Analysis of SAP-Hana classification algorithms using selected Kaggle examples)
      ♦ Bachelor of Science -2020/2021
    • Erweiterung des Process Mining von Signavio Process Intelligence um Prozessbearbeitungsdaten aus Signavio Process Manager mit anschließender Auswertung der Ergebnisse (Extension of the process mining of Signavio Process Intelligence by processing data from Signavio Process Manager with subsequent evaluation of the results)
      ♦ Master of Science – 2020 / 2021

    • Entwicklung eines Prädiktionsmodells für Retouren im Handel als Einstieg in ein System der dynamischen Preisanpassung (Development of a prediction model for returns in retail as an introduction to a system of dynamic price adjustment)
      ♦ Master of Science – 2018

Student Projects & Mentoring

    • Performance-Vergleich von vortrainierten Deep Learning Modellen für NLP (Natural Language Processing) zum Auslesen von Daten aus gescannten Rechnungen.   
      ♦ Students Master of Science Wirtschaftsinformatik – 2022

    • Entwicklung eines Machine Learning Modells, das für Signavio Process Intelligence rekonstruierte Prozesse mit geänderten Prozessen vergleichbar macht und Auswirkungsgrößen bei Prozessänderung vorhersagt.
      ♦ Students Master of Science Wirtschaftsinformatik – 2021

    • AI-based invoice data extraction by applying Transfer Learning on LayoutVM-Models
      ♦ Students Master of Science Wirtschaftsinformatik – 2022

    • Anomaly Detection for Financial Auditing (Journal Entry Testing) in vectorized financial datasets
      ♦ Students Master of Science Wirtschaftsinformatik – 2023

Mentoring your Young Professionals

Benjamin Aunkofer ist Mentor der DSI Deutschlandstiftung Integration gGmbH für das Stipendien- und Mentoringprogramm GEH DEINEN WEG.

Business Photos

Benjamin Aunkofer - Business Photos


How Can I Help You?

+49 (0) 176 666 909 56

Book your appointment with Benjamin Aunkofer, expert for BI, AI and Process Mining.


Information according to § 5 TMG: Responsible for the content of this website is:

Benjamin Aunkofer
Tharauer Allee 24B
14055 Berlin


Liability for contents
The contents of our pages were created with the greatest care. However, we cannot guarantee the correctness, completeness and up-to-dateness of the contents. As a service provider, we are responsible for our own content on these pages in accordance with general legislation pursuant to Section 7 (1) of the German Telemedia Act (TMG). However, according to §§ 8 to 10 TMG, we are not obliged as a service provider to monitor transmitted or stored third-party information or to investigate circumstances that indicate illegal activity. Obligations to remove or block the use of information in accordance with general laws remain unaffected by this. However, liability in this respect is only possible from the point in time at which a concrete infringement of the law becomes known. If we become aware of corresponding infringements, we will remove this content immediately.


Liability for links
Our offer contains links to external websites of third parties, on whose contents we have no influence. Therefore, we cannot assume any liability for these external contents. The respective provider or operator of the pages is always responsible for the content of the linked pages. The linked pages were checked for possible legal violations at the time of linking. Illegal contents were not recognisable at the time of linking. However, permanent monitoring of the content of the linked pages is not reasonable without concrete indications of a legal violation. If we become aware of any infringements of the law, we will remove such links immediately.

The content and works created by the site operators on these pages are subject to German copyright law. Duplication, processing, distribution and any kind of exploitation outside the limits of copyright law require the written consent of the respective author or creator. Downloads and copies of this site are only permitted for private, non-commercial use. Insofar as the content on this site was not created by the operator, the copyrights of third parties are respected. In particular, third-party content is marked as such. Should you nevertheless become aware of a copyright infringement, please inform us accordingly. If we become aware of any infringements, we will remove such content immediately.


The responsible body within the meaning of the data protection laws is:
Benjamin Aunkofer

Collection of general information
When you access our website, information of a general nature is automatically collected. This information (server log files) includes the type of web browser, the operating system used, the domain name of your internet service provider and similar. This is exclusively information that does not allow any conclusions to be drawn about your person. This information is technically necessary in order to correctly deliver the contents of web pages requested by you and is compulsory when using the Internet. Anonymous information of this kind is statistically evaluated by us in order to optimise our website and the technology behind it.

Like many other websites, we also use so-called „cookies“. Cookies are small text files that are transferred from a website server to your hard drive. Through this, we automatically receive certain data such as IP address, browser used, operating system about your computer and your connection to the internet.
Cookies cannot be used to launch programs or transfer viruses to a computer. The information contained in cookies allows us to facilitate your navigation and enable the correct display of our web pages.
Under no circumstances will the data we collect be passed on to third parties or linked to personal data without your consent.
Of course, you can also view our website without cookies. Internet browsers are regularly set to accept cookies. You can deactivate the use of cookies at any time via your browser settings. Please use the help functions of your internet browser to find out how to change these settings. Please note that individual functions of our website may not work if you have deactivated the use of cookies.

If you contact us by e-mail, the information you provide will be stored for the purpose of processing the enquiry and for possible follow-up questions.

Deletion or blocking of data
We adhere to the principles of data avoidance and data economy. We therefore only store your personal data for as long as is necessary to achieve the purposes stated here or as stipulated by the various storage periods provided for by law. After the respective purpose has ceased to exist or these periods have expired, the corresponding data is routinely blocked or deleted in accordance with the statutory provisions.

Use of script libraries (Google Webfonts)
In order to display our content correctly and graphically appealing across browsers, we use script libraries and font libraries such as Google Webfonts ( on this website. Google Web Fonts are transferred to your browser’s cache to avoid multiple loading. If the browser does not support Google Web Fonts or prevents access, content is displayed in a standard font.
Calling up script libraries or font libraries automatically triggers a connection to the operator of the library. It is theoretically possible – although it is currently unclear whether and for what purposes – that the operators of such libraries collect data.

Your rights to information, correction, blocking, deletion and objection 

You have the right to obtain information about your personal data stored by us at any time. You also have the right to have your personal data corrected, blocked or, apart from the mandatory data storage for business processing, deleted. Please contact our data protection officer for this purpose. You will find the contact details at the bottom of this page.
To ensure that a blocking of data can be taken into account at any time, these data must be kept in a blocking file for control purposes. You can also request the deletion of data, insofar as there is no legal archiving obligation. Insofar as such an obligation exists, we will block your data upon request.
Sie können Änderungen oder den Widerruf einer Einwilligung durch entsprechende Mitteilung an uns mit Wirkung für die Zukunft vornehmen.

To ensure that a blocking of data can be taken into account at any time, these data must be kept in a blocking file for control purposes. You can also request the deletion of data, insofar as there is no legal archiving obligation. Insofar as such an obligation exists, we will block your data upon request.

We reserve the right to amend this data protection declaration from time to time so that it always complies with the current legal requirements or in order to implement changes to our services in the data protection declaration, e.g. when introducing new services. The new data protection statement will then apply to your next visit.

Questions to the Data Protection Officer
If you have any questions about data protection, please write us an e-mail or contact our data protection officer directly at:

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