06.09.2022 aktualisiert
100 % verfügbar
Consultant, Projekt Manager, Program Manager, PMO
Ludwigshafen, Deutschland
Weltweit
Diplom Ing.Skills
SAPOracleCloudHANAEnterprise Resource PlanningEAMmachine learningGeschäftsprozessoptimierungBusiness ExcellenceSix Sigma Black
SAP APO, Data Science, Regression, NLP, ANOVA, ERP, analytics, application, Custom Java EE, machine learning, IoT, Cloud, Big data, FSM, MES, M2M, CRM, SCM, APS, EAM, APM, QM and BI, Amazon AWS, Google, Cloud Platform, Oracle Cloud Platform, Microsoft Azure, SCM / ERP / EAM, SAP ECC / S4 Hana, MM, SD, QM, PP, PM, DP, SNP, PP/DS), Oracle, JD Edwards, Infor, Protean, LN, PAS X, AVEVA, OSI PI, Emerson, LIMS, Labware, Labport, Novatek, Business intelligence, Cognos, TM1, Tableau, QlikView, Power BI, Business Objects, Database, Microsoft SQL Server, Oracle DBMS, SAP Hana, ADKAR, CAP, Project management, Waterfall, Agile, Scrum, MS Office 365, PowerPoint, Excel, Word, Teams, SharePoint, Project, Visio, Customer manager, Salesforce, MURAL, MIRO, Basics, MILP, enterprise resource planning, sensor, Foxboro, SAP APO
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisse
Projekthistorie
Manufacturing industry. Analysis of the optimization opportunities for a future systems
platform. Determination of process requirements from MSAT, Upstream- and
Downstream process development, cell line development, QM /QC, Manufacturing, Asset
Management and Supply Chain Management. Mapping of process information needs
and data flows through IT- and Manufacturing systems and computerized equipment.
Identification of optimization opportunities into target process. Quantification of the
optimization benefits. Customer: German biotech manufacturer (NDA)
platform. Determination of process requirements from MSAT, Upstream- and
Downstream process development, cell line development, QM /QC, Manufacturing, Asset
Management and Supply Chain Management. Mapping of process information needs
and data flows through IT- and Manufacturing systems and computerized equipment.
Identification of optimization opportunities into target process. Quantification of the
optimization benefits. Customer: German biotech manufacturer (NDA)
transformation platform. Business process design, mathematical optimization, machine
learning and AI. Projects: Supply Chain Optimization (SAP-APO, DP, SNP, PP/DS, OR
(Xpress Solver integration); Customer behavior analysis (Data Science: Regression
analysis & NLP); PAT & QBD (Reduction of release and development time & costs in
pharmaceutical product development (Data Science: ML, ANOVA); Customer Plannow
learning and AI. Projects: Supply Chain Optimization (SAP-APO, DP, SNP, PP/DS, OR
(Xpress Solver integration); Customer behavior analysis (Data Science: Regression
analysis & NLP); PAT & QBD (Reduction of release and development time & costs in
pharmaceutical product development (Data Science: ML, ANOVA); Customer Plannow