I am conducting advanced research in machine learning and artificial intelligence, with interests that include Graph Neural Networks, deep learning, and data-driven modeling. I am seeking an experienced machine learning / deep learning research assistant to collaborate on preparing two experimental journal manuscripts for submission to Scopus-indexed Q2 or Q3 journals. The role involves supporting the research and manuscript preparation process. All work must follow standard academic integrity and publication ethics. ⸻ Scope of Work The assistant will help with: • Literature review on recent machine learning and deep learning methods • Supporting experimental design and benchmarking • Assisting with implementation and experiments (Python / PyTorch / TensorFlow preferred) • Preparing figures, tables, and experimental analysis • Structuring and editing manuscripts for clarity, scientific rigor, and journal readiness • Ensuring formatting suitable for Scopus-indexed journals ⸻ Target Papers • 2 experimental research papers • Approximately 12–13 pages each • Topics may include machine learning, deep learning, graph learning, or AI-based data analysis • Potential applications include fraud detection, anomaly detection, predictive analytics, financial data analysis, or related domains • Intended submission to Scopus Q2 or Q3 journals ⸻ Requirements • Strong background in machine learning or deep learning • Experience running ML experiments and evaluating models • Prior involvement in academic publications or research projects • Ability to assist with experimental analysis and manuscript preparation • Strong technical writing and research skills Please answer the following questions 1. Please briefly describe your experience with machine learning or deep learning research projects, including any experimental studies or academic publications you have contributed to. 2. What machine learning frameworks and tools do you typically use for running experiments and evaluating models (e.g., Python, PyTorch, TensorFlow, Scikit-learn)? Please describe a recent project where you applied them.