Ayushi Agarwal Email & Phone Number

Los Angeles, Ca, Us

Austin, Texas, United States

Austin, Texas, United States

- Preparing and evaluating weekly assignments for CSE 551: Foundations of Algorithms, fostering student understanding of key algorithmic concepts.- Crafting comprehensive exams and quizzes, ensuring rigorous assessment of students' algorithmic problem-solving skills.- Offering dedicated support to students through proactive engagement during office hours, addressing questions, and clarifying complex algorithmic principles for enhanced learning outcomes.

- Responsible for designing and assessing weekly assignments aimed at solidifying students' grasp of fundamental concepts within the course CSE 205: Object-Oriented Programming and Data Structures.- Actively engage with students during office hours, promptly addressing inquiries related to course content, assignments, and coding complexities.

United States

• Developed a novel causal metric-based approach for biomarker selection in gastric cancer prediction, achieving an impressive 11.4% improvement in prediction accuracy while reducing the required number of biomarkers, despite working with just 100 data samples.• Addressed critical challenges in machine learning by introducing causal reasoning techniques, contributing to enhanced interpretability and effectiveness in cancer research, and paving the way for more personalized and efficient healthcare solutions.• Led a project leveraging advanced data engineering skills, where I successfully pre-processed and enriched a massive 10 TB Automatic Identification System (AIS) dataset using Spark and SQL. Ensured data completeness and quality for subsequent real-time ship anomaly detection employing Long-Term Recurrent Convolutional Networks with Attention (LRCN).

United States

- Actively engaged as a Teaching Assistant for CSE 205: Object-Oriented Programming and Data Structures, involving the creation and assessment of weekly assignments.- Providing valuable support to students during office hours, addressing inquiries, and promoting a deeper understanding of course materials.

United States

- Observing and monitoring students during examinations to maintain a secure and fair test-taking environment.- Vigilantly upholding the integrity of the testing process, contributing to the smooth administration of assessments.

United States

- Served as a Teaching Assistant for CSE 110: Principles of Programming with Java, providing mentorship and guidance to students in interactive lab sessions.- Offered dedicated support during office hours, addressing student inquiries and enhancing their understanding of programming concepts.

Melbourne, Florida, United States

• Spearheaded research on Organ Classification, Segmentation, and Localization in whole-body CT Images at the Bio-medical Image Processing Lab under Dr. Debasis Mitra, developing an innovative unsupervised learning approach using DBSCAN and a custom knowledgebase system.• Achieved exceptional results with Dice Coefficient values of 0.784 (Kidneys) and 0.88 (Lungs), showcasing the practicality and accuracy of the proposed methodology.• Contributed to scientific advancement by presenting findings at the prestigious 2022 IEEE Nuclear Science Symposium, Medical Imaging Conference, and RTSD Conference, demonstrating a commitment to cutting-edge research and innovation in biomedical image processing.

Mumbai, Maharashtra, India

• Developed a cutting-edge Bot Management System, effectively safeguarding the website against malicious activities.• Integrated this system seamlessly with the Nginx server to regularly update the list of blacklisted IP addresses automatically.• Significantly enhanced website security, ensuring uninterrupted service and earning recognition for mitigating potential threats.

Master'S Degree, Computer Science

Grade: 4.0/4.0

Bachelor Of Engineering - Be, Computer Science, 9.62/10

Activities and Societies: -Captain of Chess Team [2020-2022] -President of Shades, the Art Club [2021-2022] -Campus Ambassador for BITS.