Hanz Ummar

• Spearheading the design and deployment of cutting-edge AI and Machine Learning solutions, including Generative AI, NLP, and deep learning models, to achieve transformative business outcomes across diverse industries.
• Leading the development and optimization of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI architectures, enhancing knowledge retrieval and contextual intelligence.
• Overseeing end-to-end data processes, ensuring data quality and integrity to support robust AI model development.
• Collaborating with cross-functional teams to align AI initiatives with business strategies, driving innovation and efficiency.
• Mentoring junior data scientists, fostering a culture of continuous learning and skill development within the team.

• Leverage deep expertise in mathematical concepts, statistical analysis, and machine learning to drive the adoption of advanced analytics and data science organization-wide.
• Lead the Data Science and Analytics function for the project division, directly reporting to the VP, ensuring alignment with strategic objectives.
• Collaborate with stakeholders to develop innovative, data-driven strategies that generate actionable business insights through analytics, KPI development, and impactful information visualization using Power BI.
• Champion the integration of AI solutions, enhancing predictive capabilities and decision-making processes across the organization.
• Facilitate training sessions to elevate data literacy and foster a culture of data-driven decision-making among teams.

• Lead a high-performing team in the development and implementation of a comprehensive Data Management framework, enhancing data governance and accessibility.
• Leverage expertise in Data Modeling, Machine Learning, and Data Engineering to design algorithms that solve complex business challenges and optimize processes.
• Conduct extensive data analysis to uncover insights, detect anomalies, and develop predictive models that drive initiatives in predictive maintenance, quality control, and energy efficiency.
• Collaborate with cross-functional teams to align data strategies with business objectives, resulting in improved decision-making and operational efficiency.
• Advocate for best practices in AI and data architecture, ensuring scalable and sustainable solutions that support future growth.

• Drive the identification of innovative business process improvements, delivering both conceptual and detailed designs to enhance operational efficiency.
• Lead the ERP & Data Analytics team in empowering managers with data-driven insights, conducting comprehensive research analyses and formulating actionable recommendations.
• Leverage expertise in statistical modeling, including descriptive and predictive techniques, to optimize business processes and inform strategic decisions.
• Define and implement model development strategies utilizing advanced Big Data analytical tools, resulting in the creation of highly scalable data models that support organizational growth and innovation.
• Collaborate cross-functionally to ensure alignment of data science initiatives with business objectives, fostering a culture of data-driven decision-making.

• Led the management of user roles, authorization, and security settings, ensuring robust data governance and integrity.
• Conducted in-depth data investigations and complex analyses, leveraging ad-hoc queries to extract actionable insights and drive data-informed decision-making.
• Developed and implemented advanced descriptive analysis and data presentation techniques to effectively communicate findings to stakeholders.
• Delivered technical presentations across various departments, enhancing understanding of data use cases in operations, production, reliability, and maintenance.
• Fostered collaboration between teams to optimize data utilization and support strategic initiatives in alignment with business goals.

• Successfully enhanced organizational profitability by implementing cutting-edge IT systems and solutions.
• Collaborated with management to identify functional challenges, translating business requirements into actionable technical specifications.
• Managed and optimized ERP Financial systems for the Aramco co-generation project, ensuring seamless operation and data integrity.
• Assisted the Project Manager in generating insightful daily and monthly reports, facilitating informed decision-making and supporting auditors with comprehensive documentation.
• Leveraged data analytics to drive strategic initiatives, enhancing operational efficiency and fostering a data-driven culture within the organization.