I’m an applied mathematician with over 6 years of experience, passionate about using machine learning, data analysis, and mathematical modeling to solve real-world problems. My journey has equipped me with strong skills in programming languages like Python, MATLAB, R, and C++, along with expertise in data visualization tools such as Power BI and Matplotlib.I've had the opportunity to apply these skills in meaningful ways, from designing data-driven solutions at the Nuclear Regulatory Commission to mentoring students on their data science projects as a Graduate Research Assistant. I thrive on breaking down complex concepts and making them accessible, whether it's through building dynamic visualizations or guiding students through challenging projects.Right now, I’m diving into research on k-means clustering at North Carolina State University, where I’m exploring how machine learning can be applied to geographic data. I’m driven by a genuine curiosity and a desire to make a positive impact through my work, always looking for opportunities to learn and grow.I’m excited to connect with others who share my passion for data and problem-solving, and I’m eager to contribute to projects that make a difference.