Pickering, Ontario, Canada
I’m a Developer focused on building production ML systems that support real-world decision making. My work sits at the intersection of machine learning, data science, and software engineering, designing models that forecast behavior, surface risk signals, and turn complex data into actionable insights.I’ve led development of audience forecasting models that improved prediction accuracy by ~20% over expert baselines, and built customer churn prediction systems that identify at-risk users and enable proactive retention strategies. Across these projects, I’ve owned the full ML lifecycle—from exploratory analysis and feature engineering to model training, evaluation, and deployment—while partnering with stakeholders to ensure models drive measurable impact.More recently, I’ve been exploring the intersection of traditional ML and modern AI systems, including LLMs and agentic AI, applying them to support more intelligent, automated decision-making.Core interests: Machine Learning, Data Science, LLMs, Agentic AI, Software Development
- Led end-to-end development of machine learning forecasting models for television and digital media audiences, owning the full ML lifecycle including feature engineering, exploratory analysis, model training, and validation pipelines. - Delivered ~20% improvement in forecast accuracy over expert human projections across multiple broadcast channels, improving reliability of audience forecasting used for media planning and business decision-making. - Designed and implemented a customer churn prediction model leveraging historical engagement and behavioral signals to identify at-risk customers and enable proactive retention strategies. - Conducted threshold optimization and sensitivity analysis to uncover key churn drivers, translating model insights into targeted CRM retention initiatives. - Partnered with marketing, analytics, and business stakeholders to operationalize machine learning insights, enabling data-driven audience targeting and customer retention decisions. - Mentored engineers across experience levels while providing technical guidance on scalable, production-grade ML pipelines and model deployment best practices.
- Developed automation scripts to streamline the auditing and modification of Windows Registry and Group Policy settings, improving efficiency of system configuration and policy management workflows. - Automated the creation of a monthly report for executive leadership, reducing preparation time by over 50% and eliminating several manual steps. - Developed internal tools to standardize and speed up system configuration checks, helping teams identify policy or registry inconsistencies faster. - Wrote reusable scripts to automate repetitive administrative tasks, improving efficiency and reducing the likelihood of manual errors.
- Built automated workflows to handle data extraction, processing, and reporting using SAS Enterprise Guide, SQL, VBA, and Excel, reducing manual work and cutting task time by over 50%. - Queried large internal databases using SQL and SAS to collect and analyze data from multiple organizational sources, producing reports used to support operational and business decisions. - Developed Excel-based dashboards and reporting tools to visualize key metrics and trends, making complex data easier for stakeholders to interpret. - Worked with cross-functional teams to gather reporting requirements, validate datasets, and ensure data accuracy, improving the reliability and usability of internal analytics reports. - Business Intelligence and Quality Assurance (BIQA)
- Contributed to the development of a responsive and accessible COVID-19 information mobile application, helping deliver reliable public health updates through a user-friendly interface. - Built backend functionality using Python and the Django framework, supporting API development, data handling, debugging, and application testing. - Designed and implemented a virtual queue management system that allowed customers to join digital waiting lines and enabled store owners to manage queue flow in real time. - Developed a customer wait-time estimation feature using JavaScript, Python, and Bootstrap, helping businesses communicate queue status and improve customer experience during high-traffic periods.
- Conducted market research on the real estate industry. - Created a website and other promotional materials to increase business potential. - Worked on understanding and implementing marketing techniques revolved around Search Optimization Engines