About

Kartik B Bhargav is a seasoned IT professional with over 4 years of experience working with one of the best IT organizations in the world, VMware. He holds a Master's degree in Data Science from Eindhoven University of Technology, which is one of the top 2 universities in the Netherlands. Kartik has strong expertise in Python, SQL, Machine Learning, Data Analysis, Data Visualization, Natural Language Processing (NLP), and Git. He has hands-on experience in frameworks such as Scikit-Learn, TensorFlow, Keras, Pandas, and Numpy. Currently working as a Graduate Thesis Intern at TNO, Kartik's graduation thesis is titled "Remaining useful life prediction of lithium-ion batteries using machine learning." He conducted exploratory data analysis and extracted relevant features from the battery degradation dataset by TNO. Finally, Kartik implemented Support Vector Regression, Long Short Term Memory network, and Instance-based Learning models to predict the Remaining Useful Life (RUL) of Lithium-ion batteries in electric vehicles. Kartik has previously worked with VMware as a Member of Technical Staff, where he implemented the complete server-side code to support device management of Linux devices in the VMWare Workspace ONE UEM console. He also taught Git and writing integration tests to a team of 15 Quality Engineers and implemented a pipeline to automatically execute the unit tests on the Airwatch Windows Mobile Agent and generate a test case execution report for every build triggered on the build server using Python. Kartik holds a Bachelor of Engineering in Electrical, Electronics, and Communications Engineering from SJCE, Mysore, India, and a Pre-University degree in PCMB from Sri Sathya Sai Loka Seva PU College. He has a strong technical background and is proficient in various technologies, including NLP, ML, SQL, Python, Keras, Computer Vision, Deep Learning, Scikit, Mobile, Data Scientist, TensorFlow, Pandas, test, and Integration. Kartik is an immediate joiner who is currently looking for jobs in the domain of Machine Learning, Data Analytics, Deep Learning, Natural Language Processing, and Computer Vision. With his extensive experience and expertise in various technologies, he is a valuable asset to any organization looking to expand its data science and machine learning capabilities.