Schlagwörter
Skills
Programming Languages
● Python
● C/C++
● JavaScript
● HTML/CSS
● Shell (e.g. bash)
Tools & Frameworks
● Artificial Intelligence (e.g. IBM Watson, Facebook PyTorch)
● Machine Learning (scikit-learn)
● Natural Language Processing (e.g. Alexa, NLTK)
● Computer Vision (e.g. OpenCV)
● Numerical Simulation (e.g. NumPy, Matlab)
● ETL Tools (e.g. IBM DataStage)
● Serverless Cloud Applications (e.g. AWS Lambda)
● Web Applications (e.g. express, node.js)
● NoSQL Databases (e.g. MongoDB, Amazon DynamoDB)
● Relational/SQL Databases (e.g. IBM DB2. MySQL, SQLite)
● Development Tools (e.g. Git, jupyter, Subversion, Jenkins)
Operating Systems
● Linux
● MacOS
● Unix (e.g. Solaris, AIX, BSD)
● Windows
Selected Certifications & Courses
● Udacity - Nanodegree Deep Learning (ongoing)
● Scrum Alliance - Certified Scrum Master
● Google - Online Marketing Fundamentals
● Udemy - Web Developer Bootcamp
● IBM Certified Consultant - Experienced
● IBM Insurance Insights & Solutions (Silver)
● Python
● C/C++
● JavaScript
● HTML/CSS
● Shell (e.g. bash)
Tools & Frameworks
● Artificial Intelligence (e.g. IBM Watson, Facebook PyTorch)
● Machine Learning (scikit-learn)
● Natural Language Processing (e.g. Alexa, NLTK)
● Computer Vision (e.g. OpenCV)
● Numerical Simulation (e.g. NumPy, Matlab)
● ETL Tools (e.g. IBM DataStage)
● Serverless Cloud Applications (e.g. AWS Lambda)
● Web Applications (e.g. express, node.js)
● NoSQL Databases (e.g. MongoDB, Amazon DynamoDB)
● Relational/SQL Databases (e.g. IBM DB2. MySQL, SQLite)
● Development Tools (e.g. Git, jupyter, Subversion, Jenkins)
Operating Systems
● Linux
● MacOS
● Unix (e.g. Solaris, AIX, BSD)
● Windows
Selected Certifications & Courses
● Udacity - Nanodegree Deep Learning (ongoing)
● Scrum Alliance - Certified Scrum Master
● Google - Online Marketing Fundamentals
● Udemy - Web Developer Bootcamp
● IBM Certified Consultant - Experienced
● IBM Insurance Insights & Solutions (Silver)
Projekthistorie
Cognitive Customer Care in Insurance
January 2019 - February 2019 (as planned)
Leading a pre-study for a major German insurer to leverage messaging, natural
language processing, and chatbot technology. The objective is to provide leading
customer care experiences and realize attractive cost benefits by digitizing current
input channels.
GDPR Compliance for Leading German Bank
Project Manager and Architect
February 2018 - December 2018
Helped a leading German bank to comply with the “Right to be forgotten” in the
context of GDPR. Developed a solution strategy to design and implemented data
mapping and erasure strategies within its 2000+ applications. Designed and
implemented a roll-out strategy as well as a prototype for a team of up to 20 FTE.
Messaging and Cognitive Customer Care for a Global Insurer
January 2018 - February 2018
Leading a team of 6 FTE to shape the contact center vision for a Global Insurer. It
resulted in a €5m+ project for the first phase and is planned to be rolled out in over 50
countries.
Neural Networks for Sentiment Analysis
October 2018
Used Python to implement a neural network and trained it on IMDb data to detect
sentiment in movie reviews in real-time, attaining over 85% accuracy within one day.
Machine Learning for Fraud Detection
September 2018
Used Python and various machine learning algorithms, as well as preprocessing
methods from scikit-learn to detect fraud patterns in finance and communication data
from the Enron, until today one of the biggest fraud cases in history. Attained approx.
90% accuracy for identifying persons of interests.
Chatbot Prototype for Insurance Document Submission
September 2018
Developed a chatbot based on IBM Watson for insurance document submission… and
had a prototype within two hours.
IT Help Desk Automation for German Insurer
June 2017 - August 2017
Shaped a solution for a German insurer to automate its IT help desk using IBM
Watson, with the potential of several million Euros in cost savings while increasing
the service level and employee satisfaction. Managed the whole project from scoping
through contract negotiations to delivery of the first prototype.
Virtual Assistant for German Insurance Carrier
October 2016 - December 2016
Shaped a solution strategy for a German insurance company to enhance its
digitization strategy with a virtual sales assistant using IBM Watson. It has increased
the conversion rate by 20-40% and accounts for 70% of its total sales for dental
products.
IBM Watson Sales - Global Operations Manager Insurance and Seller
December 2015 - June 2017
Made IBM’s top 20 list of consultative sellers worldwide in the first year active.
Meanwhile managed the operations of a IBM Cognitive Sales team of partner-level
sellers, providing one-of-a-kind solutions, using IBM’s entire portfolio of Artificial
Intelligence and products and services for Insurance clients around the globe.
Managed annual closing procedures with several hundred of million dollars while
myself being in the top of the units’ most successful sellers.
Enterprise Data Warehouse for Leading German Insurer
August 2013 - December 2015
Served as Lead Architect and Senior Developer in a team of up to 20 FTE for an
Enterprise Data Warehouse, enabling word-class efficiencies in business operations
as well as annual closing calculations. Automized labor-intensive tasks with ETL
generation modules, providing development efficiency gains of over 90% and saving
customer > 5 Mio. EUR. Led data quality measurs and developed both concepts and
modules for advanced historicization. Managed account operations and maintained a
stellar relationship with critical stakeholders throughout the project.
Machine Learning for an IoT-based Sensor and Actor Network
October 2011 - February 2012
Developed and validated machine learning models to train a wireless network of light
sensors and luminaries to automatically control office lighting systems, in order to
leverage energy savings, comply with working safety regulations, and reduce effort in
the setup and calibration phase.
Modelling & Optimization of Mobile Radio Channel Usage
April 2010 - September 2012
Developed and validated novel (e.g. semi-stochastic) modelling approaches for mobile
radio channels. Modelled or approximated the problem as convex optimization
problems using respective physical effects to simulate the radio transmission and its
cellular networking aspects. Designed and implemented numerical optimization
algorithms to tune the model and calculate the most efficient resource allocation with
the mobile network.
Genetic Algorithms For Chip Layout Optimization
April 2009 - September 2012
Developed and tuned genetic algorithms to optimize chip layouts for the
semiconductor industry. The complexity was similar to mapping the the total German
Autobahn network (13.000.000 m) to a soccer penalty box (approx 35mx16m).
January 2019 - February 2019 (as planned)
Leading a pre-study for a major German insurer to leverage messaging, natural
language processing, and chatbot technology. The objective is to provide leading
customer care experiences and realize attractive cost benefits by digitizing current
input channels.
GDPR Compliance for Leading German Bank
Project Manager and Architect
February 2018 - December 2018
Helped a leading German bank to comply with the “Right to be forgotten” in the
context of GDPR. Developed a solution strategy to design and implemented data
mapping and erasure strategies within its 2000+ applications. Designed and
implemented a roll-out strategy as well as a prototype for a team of up to 20 FTE.
Messaging and Cognitive Customer Care for a Global Insurer
January 2018 - February 2018
Leading a team of 6 FTE to shape the contact center vision for a Global Insurer. It
resulted in a €5m+ project for the first phase and is planned to be rolled out in over 50
countries.
Neural Networks for Sentiment Analysis
October 2018
Used Python to implement a neural network and trained it on IMDb data to detect
sentiment in movie reviews in real-time, attaining over 85% accuracy within one day.
Machine Learning for Fraud Detection
September 2018
Used Python and various machine learning algorithms, as well as preprocessing
methods from scikit-learn to detect fraud patterns in finance and communication data
from the Enron, until today one of the biggest fraud cases in history. Attained approx.
90% accuracy for identifying persons of interests.
Chatbot Prototype for Insurance Document Submission
September 2018
Developed a chatbot based on IBM Watson for insurance document submission… and
had a prototype within two hours.
IT Help Desk Automation for German Insurer
June 2017 - August 2017
Shaped a solution for a German insurer to automate its IT help desk using IBM
Watson, with the potential of several million Euros in cost savings while increasing
the service level and employee satisfaction. Managed the whole project from scoping
through contract negotiations to delivery of the first prototype.
Virtual Assistant for German Insurance Carrier
October 2016 - December 2016
Shaped a solution strategy for a German insurance company to enhance its
digitization strategy with a virtual sales assistant using IBM Watson. It has increased
the conversion rate by 20-40% and accounts for 70% of its total sales for dental
products.
IBM Watson Sales - Global Operations Manager Insurance and Seller
December 2015 - June 2017
Made IBM’s top 20 list of consultative sellers worldwide in the first year active.
Meanwhile managed the operations of a IBM Cognitive Sales team of partner-level
sellers, providing one-of-a-kind solutions, using IBM’s entire portfolio of Artificial
Intelligence and products and services for Insurance clients around the globe.
Managed annual closing procedures with several hundred of million dollars while
myself being in the top of the units’ most successful sellers.
Enterprise Data Warehouse for Leading German Insurer
August 2013 - December 2015
Served as Lead Architect and Senior Developer in a team of up to 20 FTE for an
Enterprise Data Warehouse, enabling word-class efficiencies in business operations
as well as annual closing calculations. Automized labor-intensive tasks with ETL
generation modules, providing development efficiency gains of over 90% and saving
customer > 5 Mio. EUR. Led data quality measurs and developed both concepts and
modules for advanced historicization. Managed account operations and maintained a
stellar relationship with critical stakeholders throughout the project.
Machine Learning for an IoT-based Sensor and Actor Network
October 2011 - February 2012
Developed and validated machine learning models to train a wireless network of light
sensors and luminaries to automatically control office lighting systems, in order to
leverage energy savings, comply with working safety regulations, and reduce effort in
the setup and calibration phase.
Modelling & Optimization of Mobile Radio Channel Usage
April 2010 - September 2012
Developed and validated novel (e.g. semi-stochastic) modelling approaches for mobile
radio channels. Modelled or approximated the problem as convex optimization
problems using respective physical effects to simulate the radio transmission and its
cellular networking aspects. Designed and implemented numerical optimization
algorithms to tune the model and calculate the most efficient resource allocation with
the mobile network.
Genetic Algorithms For Chip Layout Optimization
April 2009 - September 2012
Developed and tuned genetic algorithms to optimize chip layouts for the
semiconductor industry. The complexity was similar to mapping the the total German
Autobahn network (13.000.000 m) to a soccer penalty box (approx 35mx16m).
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