Built Commure's Referral Management/Intake solution (0 to 1)

• Collaborated with a colleague to build and deploy dynamic, high-performance websites for multiple clients using

NextJS and Material-UI.

• Optimized web performance by implementing lazy loading, server-side rendering (SSR), and code splitting, reducing

load times of existing client websites by 40% on average.

• Worked directly with clients to gather requirements, deliver progress updates, and provide post-deployment

support, showcasing adaptability in a fast-paced, client-focused environment.

• Lead the development of a 0-to-1 Satellite Vegetation Management product, containerizing and deploying computer vision models enabling real-time vegetation risk heatmaps for Alectra’s operating territory using geospatial data.

• Designed and deployed a responsive front-end dashboard providing an intuitive interface for visualizing geo-spatial vegetation risk data.

• Designed and implemented demand forecasting models using Python (TensorFlow), FastAPI, and

PostgreSQL to power Alectra’s Digital Twin Project, optimizing electricity grid performance by 13%.

• Managed a project transitioning Alectra’s home office to net zero status, conducting facility assessments and data analysis to propose carbon emission reduction and offset strategies. Developed neural networks and regression models for time-series forecasting of hourly GHG emissions.

• Spearheaded the Digital Twin Project, developing deep learning and machine learning models for demand forecasting using Python (Scikit-Learn and TensorFlow) to create a digital replica of Alectra's electricity grid.

• Developed Neural Networks in python using Scikit-Learn and TensorFlow/Keras to model embedded solar and wind electricity generation across Ontario.

• Ran and published Ontario’s 20 year electricity demand forecast for 50+ stakeholder groups, informing 3000MW of investment.

• Spearheaded a research project aimed at updating Short Term Demand Model parameters by conducting data analysis of weather stations on R.

• Built a scalable database system using PostgreSQL and Python for IESO’s LDC database.

• Acted as a liaison for monthly stakeholder meetings, effectively presenting insights and recommendations, strengthening client relationships.

Taught programming and coding fundamentals to elementary school students in a fun and engaging manner.

Developed personalized lesson plans to suit various learning styles and skill levels, focusing on building problem-solving and computational thinking skills.

Guided students through hands-on projects, including creating interactive games and simple apps using languages like Python and JavaScript.

Fostered a collaborative and encouraging learning environment, helping students overcome challenges and gain confidence in their coding abilities.

Provided feedback and support to enhance students' understanding of programming concepts and logical reasoning.