Data Scientist
CurrentProject: Reducing unit testing time and quantity by utilizing Machine Learning and Optimization techniques while maintaining high product quality.Responsibilities:- Developed a pipeline for automatic analyzing over 1000 unit checks using regression and classification algorithms.- Designed and implemented a client-based app to extract data from the data warehouse, overcoming API restrictions.- Analyzed various data sets, generated reports, and shared findings with the team.Achievements:- Designed and implemented a pipeline that allowed engineering teams to reduce unit tests at stations.- Developed a client-based app that accelerated data preparation for other engineers.Project: Development of the online tool for monitoring data flow and alarming drifts based on differenttypes of algorithmsResponsibilities:- Designing and implementing the backend part of the app (Python) and developing the frontend using HTML and JavaScript.- Developed and implemented drift detection algorithms.- Improving the performance of the tool by applying parallel calculations- Improved and modified the tool based on user feedback, and released bug fixes and updates.Achievements:- Developed the tool from the POC stage to the release- The tool is used by five engineering teams to monitor over 700 production lines.- Notable hardware savings were achieved through the project.
