Rudiger Von Hackewitz
Senior Data Scientist
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolRudiger Von Hackewitz is a Senior Data Scientist based in Sydney with seven years of focused experience delivering production ML and data pipeline solutions across waste management, government and finance. He combines hands-on computer vision work—real-time video stream processing for license plate and safety-zone detection using YOLO/Detectron2 on NVIDIA hardware—with robust cloud ETL and MLOps in AWS, GCP and Azure. His background in traditional engineering roles (Java, Oracle DBA, PL/SQL) and a Distinction MSc in Applied Data Science enable him to bridge legacy systems and modern analytics, automating DBT/Snowflake transformations and API-driven feature engineering. He mentors teams and translates technical outputs into executive-facing Power BI/Tableau dashboards, and has driven practical solutions from churn and segmentation models to fraud detection and attribution analytics. Notably, he built self-generating SQL→DBT pipelines and real-time alerting systems that integrate video, spatial and external API data for operational decisioning.
7 years of coding experience
11 years of employment as a software developer
Ludwig Maximilian University of MunichMaster's degree, Applied Data Science, with Distinction, Master's degree, Applied Data Science, with Distinction at University of Southern QueenslandGithub contributions (2)
rvh1/mra_blood_vessel_segmentation
Jan 2019 - Feb 2021
Contributions:22 commits, 37 pushes, 1 branch in 2 years 1 month
rvh1/dp_image_segmentation
Jan 2019 - Jan 2019
Contributions:3 commits, 2 pushes, 1 branch in 1 day
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