02.03.2024 aktualisiert
100 % verfügbar
Senior Data Scientist & Machine Learning Engineer Freelancer
Berlin, Deutschland
Deutschland
Master of Science PhysicsSkills
data scienceMachine LearningData EngineeringPythondeep leariningLinuxJavascriptData PipelinesAWS - Amazon Web ServicesDockerInteractive Brokers APITensorflownatural language processingAnalyticsPostgresSQLSnowflakeNeo4J
I work in the overlapping field of Data Science / Machine Learning Engineering / Data Engineering and have special interest in:
1) Full data pipeline implementation incl. ML model optimisation:
problem and architecture design, ETL pipeline implementation, Feature Engineering, Model selection, training, optimisation and evaluation, deployment and automatisation
2) Business Analytics and Data Products
Data driven business, data-oriented products, data-centered business models
Machine Learning, Analytics, search engine, backend, algorithms, Scala, Spark, raw data, Interactive Brokers, stream processing, RabbitMQ, feature engineering, docker, data storage, Programming, Python, AWS, Linux Shell, Javascript, Data Pandas, Scikit-learn, SQL, Gradient Boosted Trees, Shap, Bayesian statistics, Deep Learning, Time Series
1) Full data pipeline implementation incl. ML model optimisation:
problem and architecture design, ETL pipeline implementation, Feature Engineering, Model selection, training, optimisation and evaluation, deployment and automatisation
2) Business Analytics and Data Products
Data driven business, data-oriented products, data-centered business models
Machine Learning, Analytics, search engine, backend, algorithms, Scala, Spark, raw data, Interactive Brokers, stream processing, RabbitMQ, feature engineering, docker, data storage, Programming, Python, AWS, Linux Shell, Javascript, Data Pandas, Scikit-learn, SQL, Gradient Boosted Trees, Shap, Bayesian statistics, Deep Learning, Time Series
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnissePortugiesischGrundkenntnisse
Projekthistorie
Design, implementation, evaluation and automation of deployable Machine Learning Systems in the field of Analytics and Product Data Solutions within a six-person team, including stakeholder communication.
Development of a search engine for personal knowledge management. Design and implementation
of the software systems (backend, data pipes, machine learning algorithms). Contributions
to the business model. Application for the EXIST startup business grant.
of the software systems (backend, data pipes, machine learning algorithms). Contributions
to the business model. Application for the EXIST startup business grant.
Architecture and implementation of a data streaming application, using Scala, Spark and Kafka. Consulting for the client.