Manish Manish

Currently based in Berlin and enrolled in intensive German language courses (A1-A2). Completing self-directed training in European transport management and logistics KPI frameworks to transition into the German supply chain market.

Managed supply and demand planning and stock availability across fulfillment hubs. Used Google Sheets, SQL to develop KPI dashboards for senior management, enabling data-driven inventory decisions. Resolved supply bottlenecks and tracked reorder points to ensure uninterrupted order flow. Collaborated with logistics partners and warehouse teams to align operations with B2B/B2C demand

Coordinated inbound/outbound logistics in a 3PL environment using SAP and WMS. Managed order fulfillment across B2B, B2C, and e-commerce channels. Steered logistics providers to meet client SLAs and delivery timelines. Built KPI structures including TAT trackers and dispatch summaries. Developed operational SOPs to standardize warehouse workflows and improve consistency.

Built KPI dashboards and cross-functional performance reports for senior management, driving a 20% improvement in operational efficiency through detailed process mapping and data analysis. Focused on streamlining operations reporting to support data-driven management decisions across the dealership group. Expertly utilized Excel and MIS reporting tools to track business metrics and identify growth opportunities.

Managed end-to-end production planning and customer order coordination for CNC manufacturing. Optimized capacity utilization and ensured on-time delivery by streamlining production schedules. Acted as the primary point of contact for clients regarding order status, technical specifications, and delivery timelines. Gained foundational experience in process optimization and resource management within a precision engineering environment.

Two-year work-study program completed in collaboration with KPMG. Focused on using data to improve business operations and supply chain efficiency. Key Skills: Advanced Excel, SQL, Data Visualization (Tableau), Database Management, Python, and ML. Final Project: Developed a data model to predict delivery delays and improve shipping reliability. Gained a strong foundation in using statistics to solve everyday warehouse and logistics problems.

Technical Foundation: Rigorous curriculum focused on Engineering Physics, Advanced Mathematics, and Material Science. Specialized in core mechanical disciplines including Thermodynamics, Structural Analysis, and Machine Dynamics. Completed an Internship Trainee program at Bosch India (2018) focused on Fuel Injection Systems, gaining hands-on experience with global manufacturing quality standards. Strong logical problem-solving, product lifecycle management (PLM), and precision engineering.