Dipl.-Ing. Johann Scheiermann

Leadership, Management & Psychology - Leading teams and individuals - The psychology of leadership and team management - The psychology of communication in team leadership - Agile leadership for managers

• Development of forecasting models for planning and management of sales activities • Data-driven decision preparation for management by deriving strategic recommendations • Market and trend analyses by deriving insights from various data sources • Technical customer consulting through feasibility assessment of new product ideas with R&D, sales, and executive management • Sales support and strategy development by identifying application potentials and generating leads

• Failure pattern analysis on operational and maintenance data to prioritize corrective actions and product improvements • Development of predictive models for predictive maintenance and product lifecycle planning • Preparation of technical reports as decision basis for project steering and product development

• Led cross-functional teams to resolve complex field and series production issues for premium OEM • Managed root cause analysis and directed corrective actions to stabilize quality at international production sites • Resolved process and drawing deviations with product development, quality, logistics, and suppliers • Planned and supervised test bench and vehicle validation, aligning test scopes with customer expectations • Prepared management decision papers prioritizing corrective actions

• Held component responsibility for stamped metal parts in high-volume series production of clutch systems • Provided technical leadership to ensure series maturity and production stability across manufacturing plats • Led V-model based quality assurance activities and change management • Coordinated prototype and pre-series builds in collaboration with purchasing, logistics, and assembly • Supported program management by structuring development scopes and cross-functional work packages

• Managed change requests, DVP&R verification, and PLM tracking of change approvals during series launch • Collaborated with SQD on component, assembly, and supplier process changes requiring customer approval • Coordinated critical changes and capacity bottlenecks across cross-functional engineering teams • Managed cross-site alignment between German plants and sites in Italy and Slovakia • Steered work packages and prioritized actions for milestone achievement

• Defined system requirements within APQP/PPAP framework (IATF, ISO) and coordinated feasibility with internal teams and suppliers • Developed mechatronic systems using CAD and applied DFMEA, DFM/DFA, and GD&T during prototype phases • Managed BOMs, design documentation, and material selection while leading design iterations • Managed prototype builds and functional validation. Aligned test priorities and validated design changes • Contributed to five patent applications from concept to B-sample maturity

• Led a project focused on fluid mechanical optimization of transmission valve spools for Liebherr off-road vehicles • Planned, executed, and analyzed complex test series, translating measurement data into well-founded actionable recommendations • Coordinated closely with engineering and test teams while presenting findings regularly to stakeholders

- MLOps Capstone Project: end-to-end ML-pipeline that allows for efficient model development, versioning, deployment in an API, and continuous monitoring to ensure the model's reliability and performance. - Tools used for the project: Github Action, DVC, MLFlow, FastAPI, Evidently, Grafana, Prometheus, Docker. - Bootcamp scope: 180 hours of programming practice with team-based development of a capstone project.

- Basics of Programming: Python, Bash, Linux, Git, GitHub - Data Analysis and Visualization: Pandas, NumPy, Matplotlib, SQL - Machine Learning (ML): Scikit-Learn, Classification, Regression, Clustering - Text mining: NLTK, regular expressions, text cleaning and preparation, natural language processing (NLP), text classification, topic modeling - Network Analysis: NetworkX, Connectivity, Centrality and Network Evolution

- Analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau) - Clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming - Visualize and present data findings in dashboards, presentations and commonly used visualization platforms

Schwerpunkt: Allgemeiner und konstruktiver Maschinenbau | Antriebstechnik | Fluidtechnik (Hydraulik und Pneumatik)

Schwerpunkt: Technischer Vertrieb