I am a Computer Science graduate from Toronto Metropolitan University with a minor in Finance and a passion for turning complex data into actionable business solutions. My professional background is defined by a blend of software engineering and data science, having held impactful roles at industry leaders like Shopify and Manulife. During my time at Shopify, I specialized in building containerized big data pipelines using Azure Databricks, where I successfully reduced model training time by fifty percent and improved system reliability through strategic cluster scaling. I have a proven track record of delivering measurable financial results through technical innovation. For instance, while working with the Canadian Children’s Book Centre, I collaborated on SQL database optimizations and microservices that saved the organization over one hundred thousand dollars annually. I also enjoy exploring the intersection of artificial intelligence and consumer behavior, as evidenced by my development of an Airline Ticket Price Predictor that achieved an eighty-nine percent accuracy rate using machine learning. Beyond backend engineering, I am proficient in full-stack development and data visualization tools like Power BI and Tableau. I have built several interactive platforms, including a campground review application and a student housing finder, consistently focusing on user engagement and performance optimization. Whether I am refactoring complex queries for cloud migration or building AI-driven recommendation engines, I am committed to creating scalable technology that provides genuine value to stakeholders and users alike.…I am a Computer Science graduate from Toronto Metropolitan University with a minor in Finance and a passion for turning complex data into actionable business solutions. My professional background is defined by a blend of software engineering and data science, having held impactful roles at industry leaders like Shopify and Manulife. During my time at Shopify, I specialized in building containerized big data pipelines using Azure Databricks, where I successfully reduced model training time by fifty percent and improved system reliability through strategic cluster scaling. I have a proven track record of delivering measurable financial results through technical innovation. For instance, while working with the Canadian Children’s Book Centre, I collaborated on SQL database optimizations and microservices that saved the organization over one hundred thousand dollars annually. I also enjoy exploring the intersection of artificial intelligence and consumer behavior, as evidenced by my development of an Airline Ticket Price Predictor that achieved an eighty-nine percent accuracy rate using machine learning. Beyond backend engineering, I am proficient in full-stack development and data visualization tools like Power BI and Tableau. I have built several interactive platforms, including a campground review application and a student housing finder, consistently focusing on user engagement and performance optimization. Whether I am refactoring complex queries for cloud migration or building AI-driven recommendation engines, I am committed to creating scalable technology that provides genuine value to stakeholders and users alike.WWWW…