

Results-driven Ph.D. graduate (March 2024) in Information Science and Engineering with strong expertise in cybersecurity, data science, and machine learning. Experienced in academic research, peer-reviewed publications, and collaborative projects with international research teams. Proficient in machine learning model development, time-series data analysis, and feature engineering for anomaly detection and cyber-physical systems. Hands-on experience delivering secure network, IoT security, and cloud solutions across multinational environments. Specialized interests include post-quantum cyber resilience, cryptographic agility, and data-centric security approaches for long-term trust and continuity in smart grids and cyber-physical energy systems.
Information Security [(ISC)² Certified in Cybersecurity (05/2023)]
Security and Risk Management (EBIOS Risk Manager Method)
Teamwork, Collaboration, and Customer Communication
Data Science (Analytics and modeling; Machine learning methods; Data visualization)
Programming Languages (Python; R; MATLAB; PHP)
Statistics; Deep Learning; Machine Learning; Numpy; Pandas; Scikit-Learn
Data Anonymization; Data Preprocessing; Data Analysis
Data Visualization (Matplotlib; Tableau; Power BI)
Cloud Computing (Microsoft Azure);
Operating System (MacOS, Windows, Linux)
Academic Skills (Active learning; Research design; Critical thinking; Problem-solving; Written and oral communication; Active listening, Project management)
Database tools (SQL, NoSQL)
Reading and staying current with technology, cybersecurity, and global affairs
Problem-solving and hands-on technical experimentation
Writing and knowledge sharing (technical and educational content)
Teaching, mentoring, and community engagement
Volunteering and collaborative team activities
Listening to music and reflective learning
Programming & Data Analysis: Python (data analysis, machine learning, automation), MATLAB (signal processing, modeling, simulations), SQL (data querying and management), Bash / Shell scripting
Data Science & Machine Learning Tools: NumPy, Pandas, SciPy, Scikit-learn, TensorFlow / Keras (basic to intermediate), Time-series analysis and anomaly detection tools
Cybersecurity & Networking: Cryptographic tools and libraries, Network monitoring and troubleshooting tools, Firewall and security configuration utilities, Vulnerability assessment and incident analysis tools
Operating Systems & Platforms: Windows (advanced user / administration), Linux (Ubuntu, CentOS – command line & scripting), Virtualization platforms (VMware, VirtualBox)
Documentation, Research & Productivity: LaTeX (Overleaf) for academic and technical writing, Microsoft Office (Word, Excel, PowerPoint), Git / GitHub (version control and collaboration), Technical report writing and documentation tools