About me: I am an experienced R&D Data Scientist with over 5 years in data science, mathematical modeling, and applied research, specializing in generative AI, forecasting, and quantitative finance. My expertise includes building high-fidelity synthetic data models, drift-resistant forecasting, and advanced classification techniques for imbalanced tabular data. I have a strong academic background with a BSc, MSc, and PhD in Engineering and Technology, and have contributed as a first author at NeurIPS 2025. My work spans FinTech, energy, and biomedical engineering, and I have mentored projects and led research teams. I am recognized for my innovative problem-solving, technical leadership, and ability to communicate complex ideas effectively. My soft skills include mentoring, public speaking, and cross-disciplinary collaboration, making me a valuable asset for applied R&D roles in Israel.