Dhaval Mehta
Data Analyst @ Enging - Make Solutions
About
I help industries improve machine reliability using Motor Current Signature Analysis (MCSA) and data-driven condition monitoring techniques. As an Electrical Engineer, I specialize in diagnosing faults in electrical machines and ensuring their optimal performance through predictive maintenance strategies. My focus is on early fault detection, minimizing downtime, and extending equipment life using advanced signal analysis and monitoring approaches. I am always keen to learn, collaborate, and explore opportunities in condition monitoring, predictive maintenance, and reliability engineering.
Portugal
Coimbra Metropolitan Area
Machinery
Predictive Maintenance, Python (Programming Language), Data Visualization, Data Analysis, Microcontrollers, Condition Monitoring, Project Management, Strategy
Experience

Data Analyst
Coimbra, Portugal
Responsible for analyzing operational data from existing industrial assets to closely monitor equipment health and fault behavior. Key responsibilities include: 🔹Analyzing asset data to identify, track, and validate developing faults 🔹Continuous condition monitoring and trend analysis of critical equipment 🔹Collaborating directly with clients to explain findings and discuss fault progression 🔹Preparing detailed technical and analytical reports with actionable insights 🔹Supporting the development and improvement of existing monitoring and analytics systems This role involves bridging data analysis, machine condition monitoring, and client communication to enable informed decision-making, predictive maintenance, and improved asset reliability.

Jr. Electrical Engineer
Ahmedabad
Developed advanced fault detection and industrial automation solutions to improve machine reliability and operational efficiency. 🔹 Motor Fault Detection – Engineered a real-time system to identify bearing faults, belt and pulley faults, and load variations. The solution also functioned as a power analyzer, delivering comprehensive insights into overall motor health. 🔹 Smart Industrial Automation & Remote Monitoring – Designed an intelligent control system capable of replacing PLCs in small-scale plants. The system utilized sensor data to detect plant-wide faults, optimize performance, and enable real-time monitoring and control. This automated solution supported predictive maintenance and significantly reduced downtime without the need for human intervention. By integrating Machine Condition Monitoring techniques (MCSA, ESA) with IoT-based analytics, this work contributed to the development of automated, self-regulating industrial systems with enhanced efficiency and reliability.

Testing Engineer
Kalol, Gujarat, India
During my internship, I conducted comprehensive testing on transformers, ensuring compliance with industry standards. My key responsibilities included: 🔹 Insulation Resistance & Power Factor Testing – Assessed dielectric strength and insulation health. 🔹 Turns Ratio & Magnetic Balance Testing – Verified winding integrity and core symmetry. 🔹 Resistance Measurement – Evaluated copper loss and conductor health. 🔹 Fault Analysis & Preventive Measures – Identified potential failures and suggested corrective actions. This hands-on experience enhanced my understanding of transformer performance.
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