I am a data-focused technologist with a strong engineering mindset and over five years of professional experience working hands-on with data analysis, reporting, and data-driven product development across multiple industries. My background includes roles as a Senior BI Consultant and Data Architect, where I have built, maintained, and evolved modern data platforms using Python as my primary tool. I have extensive experience designing data transformations and pipelines using Spark, Pandas, and Polars, and I am comfortable working across the full data lifecycle—from raw ingestion to analytics and decision support. In recent years, my work has increasingly focused on operational and sensor-based data. In my current role, I work with large volumes of time-series data from vessels, building Python-based pipelines to ingest and process sensor signals and applying machine learning techniques to predict operationally critical outcomes. I hold formal education in Applied Machine Learning, with a strong emphasis on practical implementation and real-world use cases rather than purely academic models. I am a self-taught programmer with more than 15 years of hands-on development experience, driven by genuine curiosity and passion for building software. Over the years, I have developed and published a Flutter mobile application for both iOS and Android, built backend services in Go, and created a wide range of applications and tools using modern development practices. What started as a long-standing personal interest has evolved into a professional career, allowing me to combine deep technical skills with business understanding and problem-solving. I thrive in environments where data, software engineering, and real-world impact intersect, and I am particularly motivated by building robust, scalable solutions that turn complex data into actionable insight.…I am a data-focused technologist with a strong engineering mindset and over five years of professional experience working hands-on with data analysis, reporting, and data-driven product development across multiple industries. My background includes roles as a Senior BI Consultant and Data Architect, where I have built, maintained, and evolved modern data platforms using Python as my primary tool. I have extensive experience designing data transformations and pipelines using Spark, Pandas, and Polars, and I am comfortable working across the full data lifecycle—from raw ingestion to analytics and decision support. In recent years, my work has increasingly focused on operational and sensor-based data. In my current role, I work with large volumes of time-series data from vessels, building Python-based pipelines to ingest and process sensor signals and applying machine learning techniques to predict operationally critical outcomes. I hold formal education in Applied Machine Learning, with a strong emphasis on practical implementation and real-world use cases rather than purely academic models. I am a self-taught programmer with more than 15 years of hands-on development experience, driven by genuine curiosity and passion for building software. Over the years, I have developed and published a Flutter mobile application for both iOS and Android, built backend services in Go, and created a wide range of applications and tools using modern development practices. What started as a long-standing personal interest has evolved into a professional career, allowing me to combine deep technical skills with business understanding and problem-solving. I thrive in environments where data, software engineering, and real-world impact intersect, and I am particularly motivated by building robust, scalable solutions that turn complex data into actionable insight.WWWW…