Jayaram Kottimugalur
About Jayaram Kottimugalur
Jayaram Kottimugalur is a Data Science Fellow at SharpestMinds in Toronto, Canada, where he has worked since 2022. He holds a Bachelor of Engineering in Mechanical Engineering from Anna University, a Master of Science in Industrial Engineering from the University of Florida, and an Applied MS in Data Science and AI from Data ScienceTech Institute.
Work at SharpestMinds
Jayaram Kottimugalur has been serving as a Data Science Fellow at SharpestMinds since 2022. Located in Toronto, Ontario, Canada, he has contributed to various data science initiatives over his two-year tenure. His role involves leveraging his expertise in machine learning and natural language processing to tackle complex data challenges.
Education and Expertise
Jayaram Kottimugalur holds a Bachelor of Engineering (B.E.) in Mechanical Engineering from Anna University, which he completed from 2004 to 2008. He furthered his education with a Master of Science (MS) in Industrial Engineering from the University of Florida, studying from 2008 to 2010. Additionally, he earned an Applied MS in Data Science and AI from Data ScienceTech Institute in 2019. His educational background supports his proficiency in various data science methodologies.
Background in Data Science
Jayaram has gained practical experience in data science through internships. He worked as a Data Scientist Intern at CASAFARI in Lisbon, Portugal, for five months in 2019. He also completed a two-month internship at iNeuron.ai in Greater Bengaluru Area in 2022. These roles provided him with hands-on experience in data analysis and machine learning applications.
Technical Skills and Tools
Jayaram Kottimugalur utilizes a variety of technical tools and frameworks in his work. He employs natural language processing toolkits such as NLTK, SpaCy, and Gensim for NLP projects. His expertise extends to computer vision toolkits like OpenCV and DeepFace. He is also skilled in machine learning frameworks including PyTorch, TensorFlow, and Keras, specializing in the application of deep learning techniques to NLP tasks.
Projects and Applications
Jayaram has developed an abstractive news summarization application that incorporates advanced natural language processing techniques. This project utilizes LSTM encoder-decoder architecture and Transformers, showcasing his ability to apply deep learning tools effectively in real-world applications.