Dr. Kaleem Muhammad

Responsibilities: Advise organizations on sustainability and digital transformation Lead cross-functional teams to implement data-driven solutions Design & deliver KPI dashboards & sustainability reporting Project manager and strategic partner for AI projects Trusted advisor to management, translate technical insights into actionable business decisions Achievements: Implemented sustainability and process optimization projects Built strategic frameworks for long-term sustainability & digital transformation

Supervised a master’s student from SRH Berlin University Led the Hyperion Reports migration project Managed projects using Microsoft Project Accelerator Directed multiple AI-driven initiatives Project Lead for KNIME and Joget (client & server) Key Achievements: Streamlined global reporting processes, improving efficiency and usability for business stakeholders Delivered multiple AI projects driving operational efficiency Built cross-functional teams & competence centers for sustainable knowledge transfer

Led renewable energy forecasting projects (solar and wind) using AI models Designed and implemented classical statistical and AI-enhanced data warehouse Oversaw data storage, handling, and processing using Hadoop and big data Key Achievements: Successfully migrated traditional data warehouse processes to AI-enhanced environments Improved forecasting accuracy and decision-making for renewable energy operations Collaborated with C-level and project stakeholders to integrate analytics into business strategy

Drove rapid growth for a SaaS startup by leading strategic planning and operational execution Developed marketing strategies for multiple products Identified and captured market segments using data-driven insights from marketing leads Led an international sales and marketing team Key Achievements: Expanded market reach and improved customer acquisition quickly Coordinated international team operations efficiently Established strategic processes supporting scalable business growth

A medium range climate forecast of aerosol and sea surface temperature variability (German Ministry Project: BMBF)