Über Mahsa
Englisch
Verhandlungssicher
Deutsch
Konversationssicher
Persisch
Muttersprachlich oder zweisprachig
Projekt- und Berufserfahrung
- IndependentIndependent Data Engineer/AI EngineerDIGITALAGENTUREN & IT-CONSULTINGMärz 2023 - Heute (3 Jahre und 4 Monate)Munich, Deutschland- Project “RAG Document Search” (2026): Developed a Python-based RAG document search prototype usingembeddings, ChromaDB/vector database, retrieval logic, prompt construction, and LLM-based answer generation.- Project “dbt-ecommerce” (2026): Built an end-to-end dbt project on Snowflake for ecommerce data, including stagingmodels, marts, fact/dimension tables, and generic dbt tests.- Project “AWS Rekognition Pipeline” (2025): Built a serverless ML pipeline for image analysis with S3, Lambda,Rekognition, DynamoDB.- Project “Flask Docker API” (2025): dockerized REST API deployed on AWS ECS Fargate.- Project “AWS CI/CD Pipeline” (2025): Built a CI/CD process with GitHub Actions which automated pytest runs anddeployment of updated Python code to AWS Lambda.- Udemy: Python for Data Science & Machine Learning Bootcamp; Introduction to Cloud Computing on AWS.
- TWT Science & Innovation,Development Engineer & Data ScientistMärz 2022 - Februar 2023 (11 Monate)Munich, Germany• - Enhanced BMW's TAEENext software for automated report generation (Python, YAML, Tableau, python-pptx, marshmallow, SQLAlchemy).• - Wrote tests with pytest; delivered SQL/Python analyses including ML use cases and reporting visualizations for Advanced Data Analytics.• - Used Dymola (Modelica) for simulation of dynamic systems.
- Helmholtz Zentrum,Data Scientist & Tools DeveloperJuni 2019 - Juni 2021 (2 Jahre)Munich, Germany• - Developed and maintained tools to improve the LIMS (laboratory information management system) for managing/analyzing approx. 21 million biosamples.• - Built a Python/SQL GUI that supported structured processing and visualization of sample boxes; supported processing of 6,000+ Covid-19 samples.• - Executed complex SQL queries and data analyses (PostgreSQL) for NAKO sites; ensured data quality and research- ready preparation.• - Prepared, analyzed, and visualized complex datasets to support stakeholder decisions in a clinical research environment.
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Ausbildung und Abschlüsse
- PhD in PhysicsMax Planck Institute for Astrophysics2017PhD in Physics
- M.Sc. in PhysicsRazi University2009M.Sc. in Physics
Zertifizierungen
- PhDLMU Munich2017