NCSA SPIN intern

• Jun 2023 - Present

Project: Spatial Analysis of Metastatic Breast Cancer Tumor Heterogeneity Using Machine Learning Techniques. Project: Spatial Analysis of Metastatic Breast Cancer Tumor Heterogeneity Using Machine Learning Techniques.

ECE 110 Undergraduate Course Assistant

• Jan 2023 - Present

Undergraduate Research Assistant

• Feb 2022 - Present

Working on optimization of Computer Vision-based algorithms like BFS to decrease the liabilities of the aforementioned.Assisting researchers in providing a benchmark Dataset for exploring the capabilities of inexpensive and non-invasive sensors to understand traffic bodies of of any size.

Embedded Systems

• Jul 2022 - Present

Involved with the Autonomous team, working on integrating the telemetry software with the sensors made by the Electrical Team. Will participate in the Shell Eco-Marathon Autonomous Programming Competition and plan on deploying the vehicle by the end of Mid-April. Involved with the Autonomous team, working on integrating the telemetry software with the sensors made by the Electrical Team. Will participate in the Shell Eco-Marathon Autonomous Programming Competition and plan on deploying the vehicle by the end of Mid-April.

Treasurer

• Oct 2021 - Jan 2022

Organized social events for 1000+ residence hall students and allocated funds provided by the university towards developing an inclusive environment with fun recreational activities. Organized social events for 1000+ residence hall students and allocated funds provided by the university towards developing an inclusive environment with fun recreational activities.

Data Science Intern

• Aug 2020 - Sep 2020

•Attended month-long workshop learning about Data Science and Machine Learning. •Worked in teams to solve real-world problems using analytical data provided by various companies. •Conducted exploratory data analysis and implement OLS in the company's sandbox environment. •Interacted with data engineers to learn how the effectiveness of traditional statistical methods could be enhanced through higher computational power. •Attended month-long workshop learning about Data Science and Machine Learning. •Worked in teams to solve real-world problems using analytical data provided by various companies. •Conducted exploratory data analysis and implement OLS in the company's sandbox environment. •Interacted with data engineers to learn how the effectiveness of traditional statistical methods could be enhanced through higher computational power.