Martin Mauch-Freelance Data Architect
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Experience
Freelance Data Architect
Zeppelin
- Evaluation and scoring of various technologies as future telematics platform (Kafka Streams, Spark, Splunk, Snowflake)
- Improve test framework and scalability of Telematics streaming service (Scala, Property-Based Testing, Kafka, Kafka Streams, Kubernetes)
Big Data Architect
Ultra Tendency
- Implementation of a Big Data Record Linkage Pipeline (Cloudera Public Cloud, Spark, Hadoop, Hive, Kafka, Splink)
- Implementation of a CI/CD pipeline for the developed Big Data applications (Ansible, Gitlab CI, Docker, Kubernetes)
- Creation of a PoC for automatic validation and correction of data, as well as record linkage (Spark, Drools, Splink, Apache NiFi, Scala, Python)
- Set up of a new Big Data cluster for a European capital (Cloudera Private Cloud, Ansible, Kerberos)
- Migration of Big Data applications to the new cluster (Docker, Spark, Hive, Python)
Software Architect
Xencura GmbH
- Design of the architecture and implementation of a prototype for the use of Industry 4.0 processes for individualized cancer therapy (Petri Nets, Industry 4.0, Digital Twins, Scala)
Digital Innovation Architect
Wacker Neuson SE
- Design and implementation of an algorithm to optimize the planning of production sequences subject to constraints (Scala, Constraint Programming, Constraint Based Local Search, SAP)
- Research, design and development of a platform for processing telematics data (Spark, Hadoop, Azure, Kafka)
- Analysis and improvement of telematics data quality (Python, Pandas, scikit-learn, Spark, Time Series Analysis, Active Learning)
- Design and establishment of a data science workflow (R, RStudio, Jupyter, DVC)
- Research, design and development of a central API Gateway which hides the complex system landscape of WN behind a simple interface (Scala, GraphQL, REST)
- Conception and assistance in the establishment of agile processes in the IT department (Scrum, Kanban, Pair Programming, Retrospectives, Root-Cause Analysis, Hypothesis-Driven Development)
Innovation Manager and Copartner, Team Lead Innovation Hub
crealytics GmbH
- Implementation of an algorithm for automatically generating, evaluating and selecting ad copies (Ruby, Branch and Bound)
- Design and implementation of a method for creating statistical estimations of conversion rates (R, RStudio, Knime, Rapidminer, Regression Trees, Bayesian models, Support Vector Regression)
- Implementation of an algorithm for creating statistical models of search engine auctions and maximizing profit given additional constraints (Scala, Bayesian linear regression, spline models, Computational Algebra, quasi-Newton optimization)
- Prototyping of various algorithms and coordination between data science and engineering teams (MinHash, Bayesian Vector Auto-Regression, ARIMA, Jupyter, RStudio, Spark)
- Creation of an ontology for products, brands and relevant search terms (Natural Language Processing, Neo4j)
- Design and implementation of an algorithm for optimal matching of products to search queries (Scala, Branch and Bound, Graph DB, ontologies)
- Implementation of a data processing pipeline (Scala, Spark)
- Conception, submission and execution of a government-funded research cooperation project (ZIM Koop) with the University of Kassel (Java, Exponential Smoothing, Bayesian Models, Support Vector Machines, Graph DB, Ontologies)
- Conception and establishment of agile processes in the entire company (Scrum, Kanban, Pair Programming, Retrospectives, Root-Cause Analysis, Hypothesis-Driven Development)
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Advertising, Biotechnology, Healthcare, Automotive, Transportation, and Manufacturing.
Business Area Experience
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Experienced in Product Development, Research and Development, Business Intelligence, Information Technology, and Operations.
Skills
- Programming Languages: Scala, Python, Dart, Java, Ruby, R
- Data Processing: Data Engineering, Algorithm Engineering, Machine Learning, Data Science
Languages
Education
University of Passau
Diploma Computer Science, Machine Learning · Computer Science · Passau, Germany · 3.3 / 4.0
Certifications & licenses
Microsoft Certified: Azure AI Engineer Associate
Microsoft
Microsoft Certified: Azure AI Fundamentals
Microsoft
CKA: Certified Kubernetes Administrator
The Linux Foundation
CKAD: Certified Kubernetes Application Developer
The Linux Foundation
Databricks Certified Associate Developer for Apache Spark 3.0
Databricks
Enterprise Architecture
St. Peter Polytechnic University @ Coursera
Exam 533: Implementing Microsoft Azure Infrastructure Solutions
Microsoft
Medical Neuroscience
Duke University @ Coursera
Computational Neuroscience
University of Washington @ Coursera
Functional Programming Principles in Scala
EPFL @ Coursera
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Experience
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Expertise
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Profile
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