About Me

As a Graduate Teaching Assistant, I worked with over 70 students on data visualization projects, helping them learn and apply JavaScript (D3.js), HTML, and CSS. My role involved guiding students through their projects, troubleshooting issues, and brainstorming ideas to find the best datasets and visualizations for their concepts. I also conducted in-class activities, held one-on-one office hours, and supported group discussions to keep students engaged. Beyond mentoring, I assisted the professor with course content, graded assignments and projects, and provided feedback to help students improve their skills. This experience helped me refine my ability to break down technical concepts and communicate effectively with a variety of learners.

As a Machine Vision Intern, I worked on integrating machine learning and computer vision into robotics, addressing tasks like object detection, pick-and-place operations, and real-time tracking using a Cognex camera and ABB GoFa robot. My work included developing predictive algorithms using RAPID programming and Python to enhance system performance and automate repetitive processes. I participated in brainstorming sessions and assisted in implementing vision-guided solutions, such as a system to detect parasites in fish fillets on conveyor belts for a marine start-up. Additionally, I presented technical findings to diverse audiences, ensuring clear communication and the successful delivery of scalable solutions.

As a data scientist at Yoshops, I developed efficient data pipelines to integrate and process data from multiple sources, improving both speed and data quality. I designed and implemented machine learning models to enhance predictive accuracy, leveraging platforms like AWS and Python. Additionally, I created dynamic dashboards that transformed complex data into actionable insights, enabling data-driven decision-making across the organization. I streamlined the deployment of machine learning models by containerizing them with Docker, ensuring smooth integration into production environments. I also presented insights using data visualization tools like Tableau, helping stakeholders understand key trends and make informed business decisions.