Pascal Bliem

Machine Learning Engineer / Data Scientist doing Deep Learning for computer vision and digital sensor data processing in next generation traffic video analytics.

• Querying, cleansing, and analysis of data from diverse IT-systems of all insurance branches • Development of predictive machine learning models for customer value and marketing support • Development of AWS-cloud-based solutions for data warehousing & machine learning models

Research project in fields of high entropy oxide thin film coatings with tunable absorption properties for optical filter applications.

- Research projects in computational and simulation materials science - Design of experiment and advanced analytical models - Experimental research in vacuum, plasma, and thin film technology

Research project on nano-scale magnetic double proximity effects in ultrathin films. Find associated project report at https://github.com/Pascal-Bliem/my-papers-and-theses

Research project on mechanical properties of ternary metal nitrite hard coatings.

- In charge of a scrap metal mapping project concerning a department with 13 manufacturing facilities and 100+ employees - Providing data bases and developing analytical models for scrap recordings at 9 manufacturing facilities, leading to process improvements and scrap reduction - Supporting implementation of several shop floor improvements using lean tools

- Tasks in the field of plant engineering - construction of belt drive units for heat treatment furnaces

- Major in materials science of metals - Final grade: 1.1 (German grading); 3.9/4.0 (GPA) ; top 4% of the program

- Major in materials and process engineering - Final grade: 1.5 (German grading); 3.5/4.0 (GPA) ; top 3% of the program