About

Anvi Khanna is a highly skilled and accomplished CS undergraduate at Manipal University with a passion for data science, deep learning, and big data analytics. With 1.68 years of relevant experience, Anvi has worked as a Data Science Intern at HT Media Ltd, where she developed a pipeline for data extraction from various websites and wrote several scripts in Python to crawl and process the data. Her work had a critical recommender system that eased time to implement by 30%. Anvi also surveyed multiple social networking software for ease of integration of the recommender system from the office of CTO. Prior to her current role, Anvi worked as a Student Intern at Hewlett Packard and National University of Singapore, where she gained experience in deep learning data analytics techniques, algorithms for processing large data, supervised and unsupervised training techniques, and web scraping and crawling for big data analytics using Python. At National University of Singapore, Anvi was part of a team of 6 in a research project on predicting Abnormality Detection on Musculoskeletal Radiographs using Deep Learning. She achieved a test accuracy of 80% for the ResNet model and used the Stanford MURA dataset to implement the project. Anvi is proficient in a wide range of technologies, including Python, Deep Learning, ResNet, Research Scientist, Integration, Senior Software Engineer, Big Data, Web, Keras, TensorFlow, Neural Networks, SQL, Jupyter, Hyperparameter, CNN, OpenCV, Scikit, ML, Pandas, MySQL, MongoDB, Flask, Mobile, Frontend, and Backend. She is a highly motivated and results-driven individual who is always eager to learn and explore new technologies. Anvi is currently pursuing a Bachelor's degree in Computer Engineering from Manipal University, which she is expected to complete in 2022.