Results-driven Data Scientist for 10 years with strong data analysis, machine learning, and quantitative skills. With a Master’s in Information Science and Technology from Missouri University of Science and Technology and extensive experience in Data Science and Machine Learning, I have developed a strong foundation in both theoretical and practical aspects of data analysis and model development.I am eager to bring my expertise in mathematical modeling, data analysis, and machine learning to capital markets at an investment firm. Feel free to message me to further discuss my background and explore whether my skillsets could potentially be additive to your firm.I have a keen interest and understanding of the financial markets. I developed a Pairs Trading Strategy in Python that was informed by advanced statistical methods. A keystone project that stands out is implementing machine learning algorithms into the trading system with a Sharpe Ratio of 1.6, Max Drawdown of 3.7%, and Annualized Returns of 8.3% YOY. Please, refer to the "Project" section to find further information on the quant methodology.My professional journey includes impactful roles at Meta, USAA, and V3iT Consulting, where I have consistently delivered data-driven solutions that enhance operational efficiency and drive significant business value. Key highlights at: • Meta: Created TRDV system to provide a comprehensive and real-time view of costing information, reducing manual labor hours by 40% and saving $18MM in penalty mitigation with customs. • USAA: Developed regression models to predict labor and paint cost with 83% accuracy, improving prediction of Total Estimates for claims by 20%. • V3iT: Collaborated with Data Science team to build Logistic Regression model, improving decision-making process by 30%.