As a Master of Science in Electrical and Computer Engineering with a concentration in Machine Learning and Data Science at the University of Southern California, I am passionate about leveraging cutting-edge technologies to drive business growth and solve complex problems. With a strong academic foundation in Probability, Machine Learning, Deep Learning, and Cloud Computing, I have gained practical experience in my previous internships at Quixy and Iha Consulting Services Pvt. Ltd. I spearheaded a form processing project using Transformer-based Deep Learning models to improve website form processing functionality, collaborated on web scraping tasks, implemented a Proof of Concept (PoC) to improve current network outage problems, and utilized Machine Learning techniques to predict network outages. Additionally, I have led various academic projects, including developing a website that suggested universities to students for sending in applications for graduate studies in the U.S.A. using Machine Learning and headed a team to build a semi-autonomous mini-car to identify road lanes, objects, stop signs, and lane ends by training a deep learning model on images of all objects involved. I also participate in extracurricular activities, including Junior Varsity Table Tennis, volunteering with the Hindu Student Organization at USC, and participating in Model United Nations conferences. Full end-to-end ML projects can be referred to from my Github profile mentioned in the Portfolio section, and the outputs can also be seen through my posts on projects. Programming languages: C++, Python, JavaScript, HTML, CSS, SQL. • Machine Learning, Deep Learning, Time Series Analysis, Optimization Techniques, Computer Vision (CV), A/B Testing, Statistics, NodeJS, AWS, Natural Language Processing (NLP), Node.js, Git. • Libraries and Frameworks: Scikit-Learn, PyTorch, Matplotlib, Pandas, Seaborn, NumPy, Keras, Sci-Py. | Software: Tableau