Vaibhav Kumbhar
About Vaibhav Kumbhar
Vaibhav Kumbhar is a Data Scientist with expertise in deep learning frameworks and a strong background in data analysis. He holds a Bachelor's degree in Electronics and Telecommunication Engineering and a Master's degree in Mathematical Modeling and Simulation, and has worked at Persistent Systems and KPMG Global Services.
Work at KPMG Global Services
Currently, Vaibhav Kumbhar holds the position of Data Scientist at KPMG Global Services (KGS). He has been with the organization since 2021. His role involves applying advanced data science techniques to solve complex business problems. KGS is known for its commitment to leveraging data analytics to enhance client services and operational efficiency.
Previous Experience at Persistent Systems
Before joining KPMG, Vaibhav Kumbhar worked as a Lead Machine Learning Engineer at Persistent Systems from 2017 to 2021. In this role, he focused on developing machine learning models and algorithms to drive data-driven decision-making. His experience at Persistent Systems contributed to his expertise in deep learning and data analysis.
Education and Expertise
Vaibhav Kumbhar earned his Bachelor's degree in Electronics and Telecommunication Engineering from the University of Pune, studying from 2010 to 2014. He further pursued a Master's degree in Mathematical Modeling and Simulation at Savitribai Phule Pune University, completing his studies from 2015 to 2017. His educational background provides a strong foundation for his work in data science and machine learning.
Technical Skills and Proficiencies
Vaibhav Kumbhar is proficient in various deep learning frameworks, including Keras and TensorFlow. He has experience in building neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Additionally, he is skilled in Python programming, utilizing libraries such as Pandas, NumPy, and Matplotlib for data cleaning, visualization, and analysis. His expertise extends to implementing supervised and unsupervised machine learning algorithms.
Background in Data Analysis
Vaibhav Kumbhar has a strong background in data analysis, particularly using scikit-learn. He possesses hands-on experience in natural language processing (NLP) techniques, which enhances his ability to analyze and interpret complex datasets. His comprehensive skill set allows him to tackle a variety of data science challenges effectively.