Ayushi Mehta

Hi! I’m Ayushi, a master’s student in machine learning, focusing on medical image processing. I’m an introvert who loves quiet rainy days, a good cup of coffee, and spending time with my beloved cat. My style is simple yet elegant, reflecting my love for sophistication.

I’m ambitious and passionate about making a difference in the tech world while also finding joy in creative hobbies like crochet. I enjoy being close to nature and solving tricky problems with well-thought-out strategies.

I believe in staying true to myself, valuing actions over words, and working towards a happy and comfortable life for my family. When I’m not studying, I love exploring new ideas, organizing aesthetics, and hoping to finally nail jump ropes one day!

I am a Machine Learning professional with a strong focus on data science, medical image analysis, and big data technologies. I have experience building and deploying machine learning models, including U-Net for image segmentation, and working with tools like Python, SQL, Spark, Hadoop, and Amazon SageMaker.

I’ve worked on meaningful projects, such as using machine learning for agricultural datasets and medical imaging. These experiences have allowed me to create practical, data-driven solutions that meet real-world needs. I am skilled in working with traditional and big data systems, generating insights through visualization, and solving complex problems using advanced techniques.

I am passionate about applying my knowledge to create innovative solutions and make a positive impact in the field of machine learning.

I am currently working on a Master’s in Machine Learning with a focus on medical image processing. My studies cover areas like Data Science, Machine Learning, Deep Learning, and Artificial Intelligence, giving me a solid understanding of AI. I’ve worked on projects that use U-Net models for segmentation and have hands-on experience with tools like Google Colab. Through this program, I’ve built strong skills in data analysis, machine learning, and programming in Python, all of which align with my career goals in machine learning and data science.