I am a dedicated and results-driven data scientist and software engineer with a solid foundation in economics and political science. With a Master's degree in Data Science from the City University of New York and a Bachelor's degree in Economics from Queens College, I possess a unique blend of technical expertise and analytical skills. My professional experience spans across various industries, including finance, consulting, and technology.During my recent internship at Interactive Brokers, I collaborated with senior engineers to develop automated reporting systems that enhanced compliance monitoring and detection of market manipulation activities. I have a strong proficiency in Python, having authored and optimized scripts to modernize legacy systems and improve operational efficiency.As a consultation analyst at Citrin Cooperman, I worked with clients to enhance their financial operations, implement strategic improvements, and drive operational efficiencies through advanced technologies. My hands-on experience in financial analysis, planning, and performance management has equipped me with the skills to develop and execute strategies that modernize financial processes.I am passionate about data science and have completed an immersive program at General Assembly, where I mastered a wide range of data science tools and concepts. My technical skills include Python, SQL, R, React, Django, TensorFlow, and PyTorch, among others. I have worked on various projects, including MLB win predictions, Covid-19 classification, and housing price predictions.I am a proactive team player, always eager to learn and share knowledge. My goal is to leverage my skills and experience to drive innovation and deliver impactful solutions in the field of data science and software engineering.