Abhinav Srivastava

Abhinav Srivastava has a diverse work experience across multiple companies. Abhinav began their career with an internship at Maruti Suzuki India Limited, where they worked on detecting faulty assembly in car variants using camera vision technology.

After that, they joined GE as an Edison Engineer, where they worked on the vibration and dynamics assessment of the GE9X jet engine. Abhinav was responsible for coming up with innovative design changes to meet performance, weight, and design limit requirements. Abhinav later transitioned to the role of Emerging Technologies & Analytics Engineer, focusing on deploying analytics for industrial assets in power plants. Abhinav utilized Python and machine learning techniques, including recurrent neural networks, for asset performance management.

Abhinav then joined Bidgely as a Data Scientist, where they were part of a team that developed a machine learning and signal processing-based system to disaggregate total power usage for millions of homes worldwide. Through data analysis, they identified individual appliance-level energy consumption without the need for sensors in the house. This work aimed to enable smart and efficient energy consumption, contributing to the reduction of carbon footprint.

Within Bidgely, Abhinav progressed to the role of Senior Data Scientist and eventually became the Lead Data Scientist. Abhinav'scontributions in these positions were not specified in the provided information but can be assumed to involve leadership, advanced data analysis, and further development of the energy consumption detection system.

In summary, Abhinav Srivastava has a strong background in data science, machine learning, and analytics, with experience in the power industry and automotive sector. Abhinav has worked on projects ranging from car assembly fault detection to improving energy efficiency in homes.

Abhinav Srivastava completed their education at various renowned institutions. In 2008, they graduated from Sunbeam School, Varanasi, with a High School degree in Science. Abhinav then pursued a Bachelor of Technology (B.Tech.) in Mechanical Engineering from the Indian Institute of Technology, Kanpur, from 2008 to 2012. Following that, they went on to obtain a Master's degree in Nanotechnology from the same institution, completing their studies in 2013.

In addition to their formal education, Abhinav Srivastava has acquired various certifications. In 2015, they obtained the "Foundations of Leadership [ GE Crotonville ]" certification from GE Crotonville Leadership. Abhinav further expanded their knowledge in the domain of machine learning and data science by completing the "Machine Learning for Data Science and Analytics [ Columbia ]" certification from edX in 2016 and the "Data Science and Machine Learning Bootcamp" certification from Udemy in 2017. Abhinav has also taken several courses in statistics, computational thinking, and programming from reputable institutions such as MIT and UTAustin, as indicated by their participation in online courses.