Harsh Yadav
About Harsh Yadav
Harsh Yadav is a Product Owner at ExxonMobil with extensive experience in data science, petroleum engineering, and business analysis.
Current Role at ExxonMobil
Harsh Yadav is currently serving as a Product Owner at ExxonMobil in Bangalore Urban, Karnataka, India. He has been in this role since 2021 and is responsible for various product-related functions. His responsibilities likely include overseeing product development, managing stakeholder expectations, and ensuring that the product meets market needs and requirements.
Previous Positions at ExxonMobil
Before becoming a Product Owner, Harsh Yadav worked as an Application Analyst at ExxonMobil from 2020 to 2021 in Bengaluru, Karnataka, India. In this position, he would have been involved in analyzing and optimizing applications to support business functions effectively.
Experience at Halliburton and CGI
Harsh Yadav worked as a Drilling Analytics Engineer at Halliburton in Mumbai, Maharashtra, India, from 2019 to 2020. Prior to that, he was employed by CGI as a Business Analyst in Bengaluru, Karnataka, for 11 months in 2019 and as an Associate Business Analyst in 2016 for 9 months. These roles provided him with diversified experience in business analysis and drilling analytics.
Educational Background
Harsh Yadav holds a Post graduate diploma in Data Science from the International Institute of Information Technology Bangalore, which he completed from 2019 to 2020. He also earned a Bachelor of Technology (B.Tech.) in Applied Petroleum Engineering in Upstream from the University of Petroleum and Energy Studies, where he studied from 2012 to 2016.
Domain Expertise and Technical Skills
Harsh Yadav has expertise in handling real-time drilling data using formats like WITS, WITSML, OPC, and PI. He also has experience in managing MWD (Measurement While Drilling) and LWD (Logging While Drilling) services. Additionally, he is proficient in using Power BI for data visualization and ETL procedures, as well as in conducting regression models and predictive analysis of datasets.