Rupesh Sharma
About Rupesh Sharma
Rupesh Sharma is a Data Scientist at Brillio in Bangalore Urban, Karnataka, India, where he has worked since 2021. He specializes in machine learning algorithms and deep learning techniques, with a background in Mechanical Engineering from PES University.
Work at Brillio
Rupesh Sharma has been employed at Brillio as a Data Scientist since 2021. He works in Bangalore Urban, Karnataka, India. In this role, he focuses on implementing machine learning algorithms to address various business challenges. His expertise includes the use of advanced techniques such as Support Vector Machines (SVM), Random Forest, and Deep Neural Networks, utilizing frameworks like TensorFlow and Keras.
Previous Experience
Before joining Brillio, Rupesh Sharma worked at Robert Bosch Engineering and Business Solutions. He held the position of Machine Learning Engineer from 2020 to 2021, following a three-year tenure as an Engineer from 2016 to 2019. He began his career at Robert Bosch as an Intern in 2016. Additionally, he completed a month of vocational training at Steel Authority of India Limited in 2014.
Education and Expertise
Rupesh Sharma earned a Bachelor's Degree in Mechanical Engineering from PES University, where he studied from 2012 to 2016. His educational background provides a strong foundation for his current role in data science. He specializes in machine learning and has experience in applying deep learning techniques, particularly Convolutional Neural Networks (CNN), to solve business problems. He is proficient in automating processes and troubleshooting using Python.
Technical Skills
Rupesh Sharma possesses a range of technical skills relevant to data science and machine learning. He specializes in implementing various machine learning algorithms, including SVM and Random Forest. His expertise extends to deep learning techniques, particularly using TensorFlow and Keras for developing models. Additionally, he has experience in automating processes and troubleshooting, which enhances his ability to deliver effective solutions in his field.