Hossein Rad

· Skilled in Deep Learning Engineering and Data Science, with interest in time-series and vision applications, as well as optimization problems.

· Specialized in data management for diverse audiences, with expertise in statistical methods, machine learning, data visualization, and software automation.

· Demonstrated expertise in retail analytics, focusing on pricing, promotion, and product classification through advanced machine and deep learning. Successfully merged market data with historical trends for actionable insights and strategy development in team settings.

· Knowledge and hands-on experience in areas such as TinyML, low-power AI inference, high-performance computing, and embedded systems.

· Understanding of financial markets, trading, and investment strategies, including equities, digital assets, derivatives, and commodities. Familiar with fundamental and technical analysis techniques, with experience in algorithmic trading, quantitative analysis, and risk management.

· Proficient in semantic text analysis and training Large Language Models (LLMs) for data science applications. Excelled in automating data querying, insight generation, and hypothesis testing, improving processing speed by 35% and insight accuracy.