Highlights:Successfully completed a master's degree in Intelligence and Data from Paderborn University, Germany, where I contributed to multiple impactful projects such as face recognition models, federated learning applications, and real-time biometric access control systems. One of my key highlights includes leading a project on FIQA (Face Image Quality Assessment) using SER-FIQ, where I developed deep learning solutions to enhance the robustness and accuracy of facial recognition technology. Additionally, I have experience in game development, successfully completing a project on Digital Pentomino, which further honed my programming and project coordination skills.

Skills:web development, machine learning, operating systems, data analysis, management, volunteering, UI/UX design, bootstrap, Literature research, web application development, team work, Writing poetry, Adobe Analytics, Web Analytics, Jira, Confluence, Gitlab, Adobe Dreamweaver, Research and implementation, Ideas to real time solutions - programming

Goal:My career goal is to secure a challenging role in the field of computer science, data science and artificial intelligence, where I can apply my expertise in machine learning, predictive analysis, and neural networks. I aim to work in an innovative and supportive environment that encourages continuous learning and growth, with opportunities to lead impactful projects that advance both technology and human health. Long-term, I envision transitioning into higher positions, leveraging my technical and leadership skills to establish a successful career that combines AI solutions with real-world applications.

Certification:Dell EMC academic Associate (DELL615816) – Certified Data Science Associate from Dell Technologies, demonstrating proficiency in data analytics and machine learning methodologies.

Honor:Best Project Award – Received the Best Project Award for the Biometric Access Control system during my undergraduate program for its innovative approach and potential for future implementation using nanotechnology. High GPA Recognition – Achieved a GPA of 1.3 during my master’s degree at a German university, highlighting my academic excellence in a seminar in data science and machine learning.