Data Scientist with a proven ability to transform complex data into impactful insights, with hands-on experience analyzing data across government, banking, nonprofit, and education. Passionate about leveraging data to drive innovation and deliver meaningful outcomes. I hold an MS in Applied Data Science and a BS in Mathematics with a minor in Organizational Leadership. I am an effective communicator with a strong track record in teamwork and collaboration.I enjoy building models and visualizing data, taking great satisfaction in applying mathematical concepts and advanced analytics to solve complex problems. My technical toolkit includes proficiency in Python, PySpark, R, and SQL, with extensive experience in machine learning, deep learning, statistical modeling, and data visualization. I have successfully implemented models such as convolutional and recurrent neural networks in various projects.Through my professional and academic work, I have gained real-world experience in specialized areas such as natural language processing, time series forecasting, and working with unstructured data. As an example, I used time series modeling to predict pest trends over time to drive data-driven decision making as a Data Science Intern at the USDA.Let’s connect and explore how we can transform data into actionable insights and opportunities!