16.11.2025 aktualisiert

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Data Scientist & MLOps

Heidelberg, Deutschland
Weltweit
M.Sc. Computer Science
Heidelberg, Deutschland
Weltweit
M.Sc. Computer Science

Profilanlagen

Curriculum_Vitae_Onepager.pdf
Lebenslauf_de_Onepager.pdf
Lebenslauf_de.pdf
Cirriculum_Vitae.pdf

Skills

APIsAmazon Web ServicesConfluenceJiraMicrosoft AzureBash ShellBig DataCloud ComputingFinanzenSpanischForecastingPythonMachine LearningOracle FinancialsSQL DeveloperScrumTensorflowKustoHandelPL/SQLTableauData SciencePytorchOffice365Large Language ModelsGrafanaApache SparkKerasPandasScikit-learnKubernetesMachine Learning OperationsDSGVOTürkischDockerDatabricks
Qualifikationen
  1. 5 Jahre Machine Learning
  2. (Sklearn, Tensorflow, Keras, Pytorch, Python, Shell, TimeSeries Forecasting, Event Modellierung)
  3. 3,5 Jahre MLOps
  4. (MLflow, Grafana, Kubernetes, Docker, ACA, Tableau, API Alerting & Monitoring)
  5. 5 Jahre Cloud Computing
  6. (Azure, AWS, Databricks, KQL, Oracle, PL/SQL)
  7. 5 Jahre Agiles Arbeiten
  8. (Jira, Confluence, Scrum, Office365)

Zertifikate
  1. Azure Fundamentals (4 of 4)
  2. Azure Data Science Associate
  3. Modern Forecasting in Practice
  4. Scalable ML on Big Data using Apache Spark
  5. Using ML in Trading and Finance
  6. Conference Speaker at ICISSP 2022
  7. (in progress) Databricks Data Engineering Associate/Professional
Languages
  1. Deutsch C2 (native)
  2. Englisch C2
  3. Spanisch A2
  4. Türkisch A2

Sprachen

DeutschMutterspracheEnglischverhandlungssicherSpanischGrundkenntnisseTürkischGrundkenntnisse

Projekthistorie

Credit check of new customers

Telekommunikation

5000-10.000 Mitarbeiter

Industry: Telco
  1. Position: data scientist, lead developer, team size 4-6, agile scrum
  2. Design of custom documentation structure for component-rich architecture (Jira, Confluence)
  3. Development of a standard for exploratory data analysis
  4. Development in Databricks and Azure (incl. monitoring, alerting, ACA, Docker, KQL)
  5. Model optimization
  6. Software development in Python
  7. PoC for vector-based CosmosDB migration
  8. Stakeholder Management

„PREUNN: Protocol Reverse Engineering using Neural Networks“ 2022, In ICISSP (pp.345-356))

FZI Forschungszentrum Informatik

Internet und Informationstechnologie

50-250 Mitarbeiter

Author of „PREUNN: Protocol Reverse Engineering using Neural Networks“ 2022, In ICISSP (pp.345-356))
Industry: Research, Cybersecurity
  1. Development and research of neural networks in Python and PyTorch
  2. Data analysis with Matplotlib and ML Explainability
  3. Presentation at ICISSP 2022 with best poster award
Joint research work for reinforcement learning + machine learning in IT security.

Credit check of existing customers

Telekommunikation

5000-10.000 Mitarbeiter

Industry: Telco
  1. Development of Big Data ETL pipelines based on common open source frameworks (Apache Hadoop, Apache Hive, Python, Apache Spark, Keras), AWS, Kubernetes, Docker
  2. Development of new functionalities (analytics modules, user feedback and model training processes) for internal analytics platform in Python
  3. Development of SQL and PL/SQL load runs based on specific requirements and storage of the results in SQL databases (Oracle)
  4. Development of models for the detection of anomalies in time series and granular data, event modelling
  5. Development of decision models (e.g. for alarm generation)
  6. Development of causal models for automated root cause analysis
  7. Development of process components for text analysis for the generation of anomaly explanations
  8. Create related dashboards (Tableau)
  9. Creation of monitoring functions (Grafana), as well as documentation

Zertifikate

Azure Data Science Associate

Microsoft

2025

Introduction to Trading, Machine Learning & GCP

Coursera

2021

Reinforcement Learning for Trading Strategies

Coursera

2021

Scalable ML on Big Data using Apache Spark

Coursera

2021

Using Machine Learning in Trading and Finance

Coursera

2021

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