Master of Science in Project Management & Master of Science in Computer Science. Highly organized and ambitious individual interested in the Assistant/Junior Project Manager role, bringing a profound ability to engage in the planning, execution, and delivery of programs and projects intended to accomplish business goals and objectives. With a background in project management and innovation, I have learned the art of balancing quality and quantity within prescribed timeframes and budgets. Enthusiastically looking forward to working on a challenging platform. Endowed with a passion for winning through demonstrated excellence. Experienced professional with a strong background in technology-related roles. Proficient in software development, system administration, and technical support. Skilled in problem-solving and optimizing performance. Capable of managing projects and collaborating effectively with teams. Committed to continuous learning and staying current with industry trends to contribute to organizational success.
Negotiated and secured favorable contract terms with clients, resulting in improved business profitability, developed and maintained strong client relationships to facilitate repeat business and long-term partnerships, managed contract renewals and resolutions of client disputes, and maintained a high standard of client satisfaction
Assisted in the testing and prototyping of design concepts, ensuring they met project goals and safety standards, engaged in problem-solving and brainstorming sessions to optimize efficiency and overcome technical challenges, and supported project management tasks by coordinating timelines, resources, and team deliverables
Designed, developed, and maintained a responsive web application to support the charity's fundraising and event management efforts, collaborated with stakeholders to gather requirements, ensuring the website met the needs of both the charity and its users, and implemented user-friendly features, including donation portals, volunteer sign-up forms, and event tracking systems, optimized website performance and security, ensuring data integrity, and a smooth user experience across devices
Engaged in industry events, seminars, and conferences to identify business opportunities and potential collaborations, facilitated communication between clients and internal teams, ensuring alignment on project goals and deliverables, assisted in sourcing new business leads, and contributed to the agency's client acquisition strategy
Role of BIM in sustainable project management in AEC industry (Dissertation/Thesis), University of Strathclyde, 2023, Proficiency in BIM software (e.g., Revit, Navisworks).
Understanding of sustainable design and construction principles. Knowledge of how BIM integrates with environmental and energy analysis tools (e.g., Green Building Studio). Explored the integration of BIM with sustainable project management frameworks, focusing on energy efficiency, waste reduction, and lifecycle cost analysis Developed and analysed case studies to demonstrate how BIM technologies contribute to green building standards such as LEED and BREEAM. Achieved significant outcomes by identifying key strategies where BIM enhances project performance and minimizes environmental impact, contributing to cutting-edge solutions for the AEC sector.
Developed a framework for evaluating the performance of cryptographic protocols, including factors like computational complexity, key management, and resistance to attacks Managed all aspects of the project, including literature review, experimental design, data collection, and analysis, ensuring adherence to academic standards and timelines. Achieved meaningful insights by highlighting strengths and weaknesses of various cryptographic methods, offering recommendations for their application in secure communication systems. Collaborated with academic supervisors and cryptography professionals to validate findings, contributing to advancements in data security research
Researched and implemented the use of MentorNet, a machine learning framework, to process noisy pixel values in medical X-ray images for the accurate diagnosis of fractures Developed a model to filter and enhance noisy X-ray images, improving the clarity and diagnostic accuracy of the fracture identification process. Achieved significant results by demonstrating that Mentor Net outperforms conventional noise reduction methods in medical image analysis, contributing to potential improvements in diagnostic accuracy.