Seda Ismail

Hi, I’m Seda. I’m building my career in data engineering and currently focused on building data pipelines, modeling data clearly, and applying what I learn to real projects.

I work across the modern data stack, using SQL, Python, dbt, Snowflake, data modeling techniques, and modern open-source tools from the data engineering ecosystem to develop clear and maintainable data workflows.

Outside of work and learning, I’m a diver, so you’ll occasionally spot some diving-related content hidden here.

1. 11/2022 – 11/2024

   Data Analytics ConsultantEviden Austria GmbH

   Delivered Proofs of Concept (PoCs) that led to the initiation of projects for manufacturing use cases by applying computer vision techniques (image classification for defect detection, OCR for text extraction, edge detection) using OpenCV, PyTorch, and Tesseract, and implementing hyperscaler APIs to deliver advanced computer vision capabilities. Developed customer-ready applications using Qt and deployed machine learning models for real-world applications addressing the specific client requirements. Strengthened project proposals through the research and application of Generative AI innovations. Created clear, comprehensive project documentation and presented findings to stakeholders.

   • Computer Vision
   • OCR
   • Qt
   • ML Deployment
   • Generative AI
   • Stakeholder Communication
2. 01/2022 – 08/2022

   Business Analyst InternAccenture

   Analyzed and supported business, customer, and system requirements for a cross-national banking sector transformation project. Coordinated project activities, focusing on Change Management and Roll-out Management. Closely collaborated with stakeholders to clarify requirements, prioritize tasks, and ensure goal achievement. Maintained and created project-specific documents and presentations. Conducted ad-hoc data analysis, deriving insights from datasets.

   • Requirements Analysis
   • Change Management
   • Roll-out Management
   • Stakeholder Collaboration
   • Documentation
   • Data Analysis

1. 09/2022 – 10/2024

   Master of Science in Data ScienceFH Technikum Wien

   Focused on advanced topics in Data Science, including machine learning, statistical analysis, and practical problem solving. Gained extensive experience in designing and implementing data-driven solutions, with a strong emphasis on real-world applications and challenges.

   Thesis on the unsupervised identification and localization of railway sound events, focusing on using unsupervised learning methods to detect, classify, and identify novel sound categories in complex acoustic environments.

2. 10/2016 – 08/2021

   Bachelor of Science in Business InformaticsUniversity of Vienna

   Comprehensive education in Business Informatics, focusing on programming, software engineering, database systems with mathematics, theoretical computing, and business fundamentals.

• Dbt Airbnb Analytics, South Aegean

  Airbnb Data Transformation & Analytics using dbt. Transforming raw Airbnb data into clean, analytics-ready models for insights on listings, pricing, and trends.

  • AWS S3
  • dbt
  • Snowflake
  • Metabase

  

  

• Hello World, Hannah Fry

  A short chapter by chapter summary of Hannah Fry’s Hello World from taken notes during reading and highlights. How algorithms shape our world, their power, limits, and where humans must stay in the loop.

  • Book Summary