Naim Ahmad

IT Security Specialist with practical experience in ISO 27001, internal audits, and enterprise risk management. Skilled in ISMS operations, audit execution, control gap analysis, and security awareness campaigns. Proficient in M365, Power BI and Python. Currently pursuing an M.Sc. in Data Science. Eager to contribute to GRC, cybersecurity, or audit teams where governance, risk, and compliance meet real-world impact.

• 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