Betül Cetin

Available to hire

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

English
Fluent
Turkish
Fluent
German
Intermediate

Work Experience

Working Student in Data Analytics and Artificial Intelligence at Siemens
September 1, 2023 - Present
Built GPT-based prototypes with Python, Streamlit, and Docker; deployed on Azure and AWS. Implemented Azure-based chatbots (Bot Service + Cognitive Search) integrated with Microsoft Teams for RAG-powered document search. Designed automated data pipelines with Snowflake, AWS Lambda, and FastAPI, reducing manual research time. Built and customized agent runtimes with LangChain and LangGraph to enable multi-agent workflows and human-in-the-loop interactions.
AI Engineer (Project-Based Role) at Digital Product School [ UnternehmerTUM]
December 1, 2023 - October 10, 2025
Developed a web application for reporting bike lane damage, integrated with a data platform that prioritized task management through AI. Utilized AWS Services and integrated Hugging Face NLP models. Collaborated within an interdisciplinary, Agile team to ensure continuous iteration and value delivery.
Working Student in Data Science at Magicplan
August 1, 2023 - October 10, 2025
Built machine learning models based on customer behaviors and properties to improve predictive accuracy. Engineered scalable data pipelines on GCP with BigQuery and enabled real-time analytics to support decision-making. Executed end-to-end Google Cloud deployments and designed interactive dashboards using Looker and SQL to provide actionable insights.
Data Scientist at Allianz
October 1, 2022 - October 10, 2025
Developed machine learning models to identify cross-sell opportunities and detect health insurance fraud, reducing fraud detection time by 50% and increasing cross-sell revenue by 25%. Implemented Linux Bash scripting for ETL operations, managed a Hadoop-based Big Data platform, and designed Tableau dashboards to enable data-driven decisions.
Working Student in Data Analytics and Artificial Intelligence at Siemens
September 1, 2023 - Present
Built GPT-based prototypes with Python, Streamlit, and Docker; deployed on Azure and AWS. Implemented Azure-based chatbots with Bot Service + Cognitive Search integrated with Microsoft Teams for RAG-powered document search. Designed automated data pipelines with Snowflake, AWS Lambda, and FastAPI, reducing manual research time. Built and customized agent runtimes with LangChain and LangGraph, enabling multi-agent workflows and human-in-the-loop interactions.
AI Engineer at Digital Product School [ UnternehmerTUM ]
December 1, 2023 - October 10, 2025
Developed a web application for reporting bike lane damage, integrated with a data platform that prioritized task management through AI, significantly improving engineers' ability to address infrastructure maintenance issues. Utilized AWS Services and integrated Hugging Face NLP models. Collaborated within an interdisciplinary team, leveraging Agile methodologies to ensure continuous iteration and feedback.
Working Student in Data Science at Magicplan
August 1, 2023 - October 10, 2025
Built machine learning models based on customer behaviors and properties, improving predictive accuracy and driving data-driven decisions. Engineered scalable data pipelines on GCP with BigQuery, and enabled real-time analytics to support better decision-making across teams. Executed end-to-end Google Cloud deployments, designed interactive dashboards using Looker and SQL, providing executives with actionable insights and reducing report generation time.
Data Scientist at Allianz
October 1, 2022 - October 10, 2025
Developed machine learning models to identify cross-sell opportunities and detect health insurance fraud, which reduced fraud detection time by 50% and increased cross-sell revenue by 25%. Worked on Linux Bash scripting for efficient ETL operations, managed a Hadoop-based Big Data platform, and designed interactive dashboards in Tableau to enable data-driven decision making. Developed a customer behavior model that increased conversion rates by 20% within three months.
Working Student in Data Analytics and Artificial Intelligence at Siemens
September 1, 2023 - Present
Built GPT-based prototypes with Python, Streamlit, and Docker, deployed on Azure and AWS. Implemented Azure Bot Service with Cognitive Search integrated into Microsoft Teams for RAG-powered document search. Designed automated data pipelines with Snowflake, AWS Lambda, and FastAPI. Built and customized LangChain/LangGraph-based agent runtimes enabling multi-agent workflows and human-in-the-loop interactions.
AI Engineer at Digital Product School [ UnternehmerTUM]
December 1, 2023 - October 10, 2025
Developed a web application for reporting bike lane damage; integrated with a data platform prioritizing task management through AI; leveraged AWS services and Hugging Face NLP models; worked in an interdisciplinary team using Agile methodologies.
Working Student in Data Science at Magicplan
August 1, 2023 - October 10, 2025
Built machine learning models based on customer behaviors and properties; engineered scalable data pipelines on GCP with BigQuery; enabled real-time analytics; end-to-end Google Cloud deployments; designed interactive dashboards using Looker/SQL for executives, reducing report generation time.
Data Scientist at Allianz
October 1, 2022 - October 10, 2025
Developed machine learning models to identify cross-sell opportunities and detect health insurance fraud, reducing fraud detection time by 50% and increasing cross-sell revenue by 25%. Bash scripting for ETL, Hadoop-based Big Data platform management, Tableau dashboards, and a customer behavior model that increased conversion by 20% within three months.
Working Student in Data Analytics and Artificial Intelligence at Siemens
September 1, 2023 - Present
Built GPT-based prototypes with Python, Streamlit, and Docker, deployed on Azure and AWS. Worked on Azure-based chatbots (Bot Service + Cognitive Search) integrated with Microsoft Teams, enabling RAG-powered document search. Designed automated data pipelines with Snowflake, AWS Lambda, and FastAPI, reducing manual research time. Built and customized agent runtimes with LangChain and LangGraph, enabling multi-agent workflows and human-in-the-loop interactions.
AI Engineer [ Project - Based Role] at Digital Product School [ UnternehmerTUM]
December 1, 2023 - October 22, 2025
Developed a web application for reporting bike lane damage, integrated with a data platform that prioritized task management through AI, significantly improving engineers' ability to address infrastructure maintenance issues in a timely manner. Utilized AWS Services and integrated Hugging Face NLP models. Collaborated within an interdisciplinary team, leveraging Agile methodologies to ensure continuous iteration and feedback.
Working Student in Data Science at Magicplan
August 1, 2023 - October 22, 2025
Built machine learning models based on customer behaviors and properties, improving predictive accuracy and driving data-driven decisions. Engineered scalable data pipelines on GCP with BigQuery, and enabled real-time analytics to support better decision-making across teams. Executed end-to-end Google Cloud deployments, ensuring high availability and minimizing downtime for mission-critical applications. Designed interactive dashboards using Looker and SQL, providing executives with actionable insights and reducing report generation time.
Data Scientist at Allianz
October 1, 2022 - October 22, 2025
Developed machine learning models to identify cross-sell opportunities and detect health insurance fraud, which reduced fraud detection time by 50% and increased cross-sell revenue by 25%. Worked on Linux Bash scripting for efficient ETL operations, optimizing data extraction and transformation processes. Managed a Hadoop-based Big Data platform, ensuring high data availability and optimizing resource allocation. Designed interactive dashboards in Tableau and enabling data-driven decision-making. Developed a customer behavior machine learning model that increased conversion rates by 20% within three months.

Education

MSc in Informatics at Technical University of Munich
October 1, 2022 - October 1, 2025
BSc Computer Engineering at Istanbul Technical University
September 1, 2017 - February 1, 2022
MSc in Informatics at Technical University of Munich
October 1, 2022 - October 1, 2025
BSc Computer Engineering at Istanbul Technical University
September 1, 2017 - February 1, 2022
MSc in Informatics at Technical University of Munich
October 1, 2022 - October 1, 2025
BSc in Computer Engineering at Istanbul Technical University
September 1, 2017 - February 1, 2022
MSc - Informatics at Technical University of Munich
October 1, 2022 - October 1, 2025
BSc Computer Engineering at Istanbul Technical University
September 1, 2017 - February 1, 2022

Qualifications

Neural Networks and Deep Learning
January 11, 2030 - October 10, 2025
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
January 11, 2030 - October 10, 2025
Neural Networks and Deep Learning
January 11, 2030 - October 10, 2025
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
January 11, 2030 - October 10, 2025
Neural Networks and Deep Learning
January 11, 2030 - October 10, 2025
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
January 11, 2030 - October 10, 2025
Neural Networks and Deep Learning
January 11, 2030 - October 22, 2025
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
January 11, 2030 - October 22, 2025

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Financial Services, Healthcare, Education, Other