I am a Machine Learning researcher and applied scientist operating at the intersection of Quantitative Finance, Market Microstructure, and Real-Estate Valuation. My academic background in Finance, paired with specialized training in Data Science and Machine Learning, enables me to bridge theoretical models with real-world behavior across markets. Professionally, I have contributed to financial data organizations and real-estate analytics teams, developing robust ML architectures, valuation systems, and quantitative methodologies. In my academic career, I’ve led finance teams to win case study competitions.
Beyond my professional work, I remain committed to advancing ML research and supporting initiatives that uplift and empower my hometown community.
