Asset Predictive Analytics Specialist

Role Overview: As an Asset Predictive Analytics (APA) support for industrial clients, your main responsibility will involve utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. Your role as the ideal candidate requires a strong understanding of mechanical systems, data analysis, and predictive modeling to enhance equipment reliability and minimize downtime. Key Responsibilities: - Implement 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. - Engage in data collection and analysis, develop and implement predictive models, and optimize maintenance schedules based on predictive insights to prevent unplanned downtime. Qualifications Required: - Hold a B.E/B.Tech degree in Mechanical or Chemical Engineering. - Possess 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. - Strong skills in data analysis, statistical modeling, programming languages like Python or R, and experience in developing predictive models using machine learning algorithms. Additional Details: 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. The primary focus of clients will be in Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries. Embrace change, develop innovative solutions, and challenge the status quo to excel in this dynamic role.,