Mykola Wauer

Data Science Bootcamp The curriculum includes the following technologies: - Data analysis with Python - Pandas and NumPy libraries - Software Development Tools Git, Bash and Pytest - PostgreSQL Database - Data Visualization with Matplotlib and Seaborn - AWS and Docker for data engineering and architecture - Machine Learning with Scikit-learn and TensorFlow/Keras

- Design and implementation of automated data models and transformations with SQL - Debugging and ensuring data quality

- Ad-hoc analysis and data-driven execution of client and internal company requests - Creation and delivery of a BI reporting product for external stakeholders based on Tableau - Analysis of large datasets to provide business insights (SQL and GoogleBigQuery) - Implementation of automation solutions and data-driven visualisations - Continuous monitoring and optimisation of ad delivery - Collaboration in cross-functional teams - Translation of business needs into technical requirements

synthetische Biologie / molekulare Biotechnologie

AG: Baumgrass „Signaltransduktion“ Studien zur Regulation der Th-Zell-Aktivierung und Differenzierung

Betreuung ausländischer Studierender

AG: Gómez Foix "Cell Engineering and Gene Therapy" Studien zum Kontrollmechanismus des Glykogenstoffwechsels in Skelettmuskelzellen

AG: Hansson „Evolutionäre Neuroethologie“ Unterstützung bei der Durchführung von Manduca sexta-Projekten

Unterstützung bei der Samenaufbereitung, sowie Teilnahme am „ELKE”-Projekt und „Jena-Experiment”

Einsatzstelle: Botanischer Garten an der TU-Dresden

Data Science Bootcamp The curriculum includes the following technologies: - Data analysis with Python - Pandas and NumPy libraries - Software Development Tools Git, Bash and Pytest - PostgreSQL Database - Data Visualization with Matplotlib and Seaborn - AWS and Docker for data engineering and architecture - Machine Learning with Scikit-learn and TensorFlow/Keras

Microbiology

Immunology

Molecular Life Science