Benjamin Aunkofer
Interim Chief Data Officer
Interim Chief Data Officer
Benjamin Aunkofer
♦ Interim Head of Data / Business Intelligence♦ Chief Data Scientist
♦ Founder of DATANOMIQ, a service provider for Business Intelligence, Process Mining & Data Science
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.
Business Intelligence (BI)
Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.
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.
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.
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
Databases:
MS SQL Server (T-SQL)
Oracle DB (PL/SQL), MySQL, PostgreSQL
Neo4J (Cypher)
Big Data Tools:
Apache Spark
Operating Systems & Platforms:
Windows Server, Linux Debian
Virtual Machines
MS Azure
Business Intelligence:
MS Power BI, Tableau, MicroStrategy, QlikSense
Operating Systems & Platforms:
Windows Server, Linux Debian
Virtual Machines
MS Azure
Web Sites
Portfolio
Knowledges
- Business Intelligence
- Process Mining
- Data Science
- Artificial Intelligence
- Cloud Compiuting
- Team Building
- Project Management
BUSINESS INTELLIGENCE
Data Warehousing | Reporting | Ad-Hoc Analysis
PROCESS MINING
Process Transparency | Process Audit | Process Optimization
DATA SCIENCE
Applied Statistics | Machine Learning | Deep Learning
Career Positions
2022
5 monthsHead of Data Engineering
Head of Data Engineering @ SellerX
Project Management of Migration from MS Azure BI System to snowflake, dbt, AWS.
4x Data Engineers
2022
5 monthsData 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
2021
10 monthsInterim 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
2019
8 monthsInterim 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
2018
12 monthsInterim Head of Business Intelligence
Business Intelligence @ Chal-Tec GmbH
Lead of 2x Data Engineers, 3x Data Analysts
Microsoft SQL Server on-premise, QlikSense
2013/2014
4 monthsData Analytics Consultant
Data Warehouse @ Deutsche Bank in Frankfurt am Main
Oracle DB, MicroStrategy, Excel
2013
2 monthsSoftware Audit
Software Test, IDW PS 880
FIO Systems AG
2013
1 monthPurchase Analysis
Comparison of Mobile Enterprise Application Platform Solutions
Infineon Technologies AG
2013
2 monthsCompliance Analytics
ETL and Journal Entry Testing (JET)
BayernLB (Bank) in Munich
Projects
2020
8 monthsInterim Manager for Process Mining
O2C & P2P Process, SAP Tempo/Quattro/Lean/Next S/4Hana
PAFnow, Mehrwerk, Celonis Process Mining
Merck Group
2017
3 monthsProcess Mining Piloting
Order-to-Cash Process, SAP S/4Hana
Celonis Process Mining , Linux, T-SQL
Henkel AG & Co. KGaA in Düsseldorf
2017
3 monthsProcess Mining
Procure-to-Pay, SIVAS ERP
Fluxicon Disco, T-SQL
Kirow GmbH in Leipzig
2016
3 monthsProcess Mining
Demand-to-Procure-to-Pay, SAP ERP
Fluxicon Disco
Horsch GmbH in Schwandorf
2013
6 monthsProcess Mining
Material Flow Analysis + Warehouse Process Mining, SAP ERP/MES
Fluxicon Disco
ALSTOM Transport Deutschland GmbH in Salzgitter
2015/2016
3 monthsProcess Mining
Material Flow Analysis + Warehouse Process Mining, iScala ERP
Fluxicon Disco, T-SQL
Jung Zeelandia GmbH in Frankfurt am Main
2015
4 monthsProcess Mining
Customer Order to Construction Process Analysis
PSIpenta ERP, Microsoft Dynamics CRM
Fluxicon Disco, T-SQL, QlikSense
Fibro GmbH in Weinsberg
2015
2 monthsProcess Mining
Purchase-to-Pay, SAP ERP
Fluxicon Disco, T-SQL
RZB Leuchten GmbH in Bamberg
2013
2 monthsProcess Mining
Procure-to-Pay, Order-to-Cash, SAP,
Celonis Process Mining
Gehrlicher Solar AG
Projects (done / leading)
2019
4 monthsAttribution Modelling
by using probalistical models like the markov chain.
Mister Spex GmbH in Berlin
2019
6 monthsForecasting of Returns
by using random forests / ensemble learning.
Mister Spex GmbH in Berlin
2018
3 monthsPredictive Maintenance
by using classification and regression models.
Automotive Quality Institute (AQI) GmbH in Berlin
2018
2 monthsCustomer Analytics with Churn Prediction
Prediction of fast-churning tenants by using decision trees.
Vonovia SE in Dortmund
2014
2 monthsDynamic Cost Analysis
connecting material prices of invoices from suppliers to prices on financial markets. Detecting invoice fraud via statistical data analysis.
ACELOT GmbH in Munich
2014
2 monthsStatistical Data Analysis + Text Mining
to identify possibilities of purchase optimization. Finding similar purchase items and orders via text mining.
Karl Bachl GmbH & Co. KG in Bavarian
Mentoring
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
(Wirtschaftsingenieurwesen)
Lehrbeauftragung @FHM Berlin
Lecturer for Data Science & Big Data
(General Technology Management)
Bachelor & Master Thesis of my students
- 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
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- 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
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- 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
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- 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
- Performance-Vergleich von vortrainierten Deep Learning Modellen für NLP (Natural Language Processing) zum Auslesen von Daten aus gescannten Rechnungen.
Mentoring your Young Professionals
Benjamin Aunkofer ist Mentor der DSI Deutschlandstiftung Integration gGmbH für das Stipendien- und Mentoringprogramm GEH DEINEN WEG.
Blog
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Contact
How Can I Help You?
+49 (0) 176 666 909 56
Imprint
Information according to § 5 TMG: Responsible for the content of this website is:
Benjamin Aunkofer
Tharauer Allee 24B
14055 Berlin
Disclaimer
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.
Copyright
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.
Datenschutzerklärung
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.
Cookies
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.
Contact
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 (https://www.google.com/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: