Naim Ahmad

• Contributing to Information Security Management System (ISMS) projects, working towards achieving ISO 27001 certification, involving policy implementation and compliance adherence. • Collaborating with the IT team in drafting and refining IT policies and procedures, ensuring alignment with industry standards and best practices. • Contributing as an Enterprise Risk Management Committee member, actively identifying, assessing, and mitigating risks to safeguard organizational assets and interests.

• Managed technical team to run business continuity • Execute major service on the GE Jenbacher engine in compliance with the protocol for major service • Manage customers’ expectations and report on the progress of the maintenance • Support the Operations Team by supervising and training Apprentices and new employees as required • Analyze failures on the engines in the specialism of Mechanics, electronics, and the associated software systems. Check historical data of the engine.

• Managing operation team for GE Jenbacher gas engines • Responsible for all system-related engineering tasks and KPI reporting to the management • Comply with all EHS policies and procedures to ensure a safe and productive work environment • Understanding and clarification of technical customer requirements, translating/integrating the specifications into new/evolved future service products including consideration of the impact on service business, value, and future revenue models

• Delivers technical training modules to operations personnel • Complete standard commissioning documents promptly to hand over to area operations • Perform troubleshooting activities to understand the mechanic failure of the engine and/or electronic failures of the associated control systems • Ongoing field support in cases of planned and unplanned maintenance of GE Jenbacher gas engines

• Get familiar with advanced regression techniques like Generalized regression models to analyze panel data, Categorical regression, Variable selection via penalization, and how to deal with longitudinal data • Data collection, Data visualization, Data protection, Research Data management, Data ethics, and Data Law. • Automated and semi-automated machine learning on large and complex data, with data exploration and estimation and extraction

Master Project: Petrol Price Forecasting with Recurrent Neural Networks The project was conducted based on historical fuel price data in Germany. LSTM is used to propose a machine learning model for forecasting fuel price as a nonlinear regression. Relevant Coursework: - Network Systems & Security - Cloud Computing & Security - IT Attack Identification, Analysis, and Response - Machine Learning - Neural Network and Deep Learning - Privacy and Data Protection - Data Quality Management

Major: Power System and Protection Minor: Telecommunication Engineering, Microwave Engineering Relevant Coursework: Power Station, Power System Analysis, Power Transmission and Distribution