About

Srinidhi Bhat is a Data Science Engineer at VuNet Systems and a Master of Engineering in Machine Learning student at Manipal School of Information Sciences. With a background in Electronics and Communications Engineering, Srinidhi's interest in Machine Learning was sparked by a simple perceptron model that a friend taught her before an exam. She is fascinated by how data visualization and modeling have revolutionized the world. Srinidhi is currently adept in Machine Learning, Natural Language Processing, and Python. She is curious to upgrade her skills in Computer Vision and is experimenting with hobby projects on the topic. Her interest in Photography and Photo Editing aligns well with her passion for Computer Vision. At VuNet Systems, Srinidhi has developed masked sequential and Transformers-based ideas to achieve better granularity and customizations in constructing models, driving the human-in-the-loop strategy alongside automation. She has also implemented a Span Categorization model to reduce training time by ~83% with much lesser training data. Her tech stack includes spaCy, TensorFlow, PyTorch, NumPy, Pandas, and Python. Srinidhi has previously worked as an External Intern at the School of AI, where she experimented with various concepts of Image Recognition and Object Detection, along with recently developed architectures. She also worked as an Associate Software Engineer at Accenture, where she recreated old web services, built an application to query data and report daily transactions, and developed an automated tool to address anomalies, which was previously a manual task. Srinidhi's educational background includes a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Ramaiah Institute of Technology, a Postgraduate Diploma in Data Science from IIIT Bangalore, and a Master of Engineering in Machine Learning from Manipal School of Information Sciences. Srinidhi's tech stack includes Data Scientist, ML, Computer Vision, Python, Perceptron, Software Engineer, Deep Learning, NLP, Object detection, TensorFlow, Pandas, PyTorch, Keras, OpenCV, Object Detection, and Web. She has 1.61 years of relevant experience.