Asset Predictive Analytics Specialist

The role of Asset Predictive Analytics (APA) support for industrial clients involves utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. As the ideal candidate, you will have a strong understanding of mechanical systems, data analysis, and predictive modeling to enhance equipment reliability and minimize downtime. Your responsibilities will include implementing Asset Predictive Analytics (APA) for major rotating and static equipment, such as compressors, pumps, turbines, motors, blowers, fans, heaters, distillation columns, transformers, and heat exchangers. You will be involved in data collection and analysis, developing and implementing predictive models, and optimizing maintenance schedules based on predictive insights to prevent unplanned downtime. To qualify for this role, you should hold a B.E/B.Tech degree in Mechanical or Chemical Engineering, along with a minimum of 5-7 years of experience in APA within industrial sectors, preferably oil & gas. Proficiency in AVEVA Predictive Analytics or similar solutions, as well as knowledge of reliability principles, tools, and methodologies, is essential. You should also possess strong skills in data analysis, statistical modeling, programming languages like Python or R, and experience in developing predictive models using machine learning algorithms. In addition, you must demonstrate the ability to communicate technical information effectively to both technical and non-technical audiences, engage with stakeholders at a senior level, and work collaboratively with maintenance teams. Your competency should include strong interpersonal skills, a self-aware and self-developmental approach, and a systematic work ethic with attention to detail. The role may involve travel as per business needs. Clients in Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries will be your primary focus.Embrace change, develop innovative solutions, and challenge the status quo to excel in this dynamic role.,