Senior Data Scientist

Abschluss: PhD Information Systems

Stunden-/Tagessatz: anzeigen

Sprachkenntnisse: deutsch (Muttersprache) | englisch (verhandlungssicher) | spanisch (gut)

Schlagwörter

Künstliche Intelligenz Sensorik Amazon Web Services C++ Apache Hive Python Sql Azure Software Architecture Data Science Apache Spark

Dateianlagen

datawrk-lydia-weiland-cv-1_120124.pdf

Skills

SUMMARY:
Senior Data Scientist with a focus on artificial intelligence, sensors and image processing.
In contrast to the daily digital business, I love craftsmanship and explore new cycle tracks with my gravel bikes.

WORK EXPERIENCE:

Scientifics Assistant at University Mannheim
Senior Specialist Software Architecture at DB Systel GmbH
Senior Data Scientist & AI Expert at Datensinn GmbH

PRO SKILLS:

DATA SCIENCE, AI, SENSORS
PYTHON, C++
SPARK, HIVE
AWS, AZURE
SQL

Projekthistorie

05/2022 - bis jetzt

Senior Data Scientist

(Pharma und Medizintechnik)

Project Goal: KPI Analysis

Contributions:

Development of KPIs and representation in dashboards for C-Level and funding tables
Tracing and elimination of errors in existing analysis
Optimization of existing data architecture
Implementation of end-to-end data analytics applications for different stakeholders and use cases

Tools: Python, scikit-lear, PoweBI Server, PowerQuery, MariaDB, Microsoft Dynamics 365 (CRM), ERP, OData Protocol (RESTful API), TensorFlow, Azure, Git)

10/2020 - bis jetzt

Senior Data Scientist/ Senior Data Engineer

(Telekommunikation)

Project Goal: Optimization and further development of an AI plattform solution

Contributions:

Migration of on-premises platform code to azure cloud
Conception and implementation of automatic Jira-based ticketing system for monitoring model performances and sox-relevant products
Improved model quality, runtime and storage via reviews and optimization of ai-models, integration of clean label and explainer modules in the end-to-end ai-platform

Tools: Python, Azure, Databricks, scikit-learn, pyspark, TensorFlow, Tableau, HQL, SQL, Hive, HQL, SQLite, SQLAlchemy, Oracle, AWS S3, EC2, Docker, Kubernetes Cluster, Ambari, CI/CD, Azure DevOps, GitLab, Agile Planning in Jira, Confluence API, FastAPI, Dataiku, Jupyter Notebooks, cleanlab.ai, Explainable AI, Continuous Development

06/2020 - bis jetzt

Management Consultant

Project Goal: Conception and advice on accompany-wide data strategy and data governance

Contributions:

Allowing for new business areas
Strengthen existing business goals via increasing the benefit of data
Optimization of the company wide data wuality and collaboration between business units
Implementing strategies for handling issues, establishing standards and encouraging the use of data and analytics, thus, increasing the satisfaction of employees

Tools: SAP, Asana, PowerPoint, GIS, WebGIS, PowerBI, Python, Tableau, Snowflake, Matillion, Oracle