As a graduate student in computer science at Rice University, I specialize in data science and machine learning. I am open to full-time opportunities that will allow me to apply my skills and knowledge to real-world problems and challenges. Previously, I worked as a software developer at Xplanck, where I developed and delivered branding and digital marketing solutions for direct-to-consumer websites, enhancing client engagement and retention. I integrated machine learning algorithms to optimize digital marketing strategies and to provide personalized consumer experiences on the D2C platform. I also worked as an independent software consultant for the Ministry of Commerce and Industry, Government of India, where I developed a unique method for visualizing and analyzing COVID-19 data to identify geographical hotspots, estimate infection and hospitalization rates, and rank vaccination and resource distribution strategies. I have strong proficiency in Python, JavaScript, and Java, as well as in various frameworks and libraries, such as PyTorch, Pyro, Scipy, Numpy, Folium, QGIS, BeautifulSoup, and Nominatim. I am passionate about learning new technologies and techniques, and I enjoy collaborating with diverse and talented teams. My goal is to leverage my skills and expertise to create innovative and impactful solutions that can benefit society and the environment.