Projects

Contributed to securing 3rd place in Côté Gold - BlastCaptain by collaborating a project analyzing blast footage for open-pit mining optimization. Key deliverables included insights on blast hole timing, stemming behavior, and projectile dynamics using advanced computer vision techniques. This project highlighted the potential of AI-driven solutions for enhancing mining efficiency.

Led a team in developing a Flask application that reports student survey results from all over Ontario. We used SQLite to store the data and built a custom front end for the college stakeholders. The survey results would automatically be rendered through an API.

The goal of this research is to explore the US Transportation Management Systems (TMS) market, examining industry targeting, use cases, market shares, regulatory shifts, and emerging trends, to provide industry professionals with insights for informed decision-making and understanding TMS's transformative impact on logistics and transportation.

The WeatherApp-Hamilton aims to provide a comprehensive weather analysis and risk mitigation framework. It features an intuitive web and mobile interface with real-time weather data and alerts, an interactive map for visualizing weather patterns, integration with historical and real-time meteorological data, a threshold-based risk assessment, customizable alerts, multi-channel notifications, secure user management, basic documentation, and optimized performance for real-time responsiveness.

The Mining Analytics Hub Prototype aims to provide mining companies with a responsive web application for real-time and static analytics on personnel, equipment, vehicles, and materials mined. It features a user-friendly interface, dummy data generation, API endpoints, and database integration, enhancing operational insights and decision-making.

The Parking Availability & Safety App offers real-time parking information to promote road safety and efficiency. It integrates with insurance policies, providing discounts for responsible parking. It analyzes parking habits for risk assessment, sends policy reminders, rewards safe parking behavior, and assists in accidents or theft incidents.

Created a Python-based Flask web app dashboard to streamline and optimize the report generation process for a prominent insurance and personnel management company in Northern Ontario. Implemented SQLAlchemy as the ORM tool and utilized PostgreSQL as the database for effective data management and integration.

Collaborated as team Cambrian in delivering a report to identify the possible solutions for ATS in Hamilton. Solutions included a feasible plan to integrate new transportation systems with existing and optimized route planning.

The goal is to predict demand for shared bikes post-pandemic to revive revenue for BoomBikes. Understanding factors influencing demand is crucial. Data analysis will identify significant variables affecting demand, aiding in strategic planning and market understanding. The model aims to provide insights into demand dynamics for effective business decisions in a new market.

To prepare for the next best steps that Airbnb needs to take as a business, an extensive data analysis was conducted on a dataset consisting of various Airbnb listings in New York. The objective of the analysis was to identify key insights and trends in regard to host acquisition, customer preferences, pricing, property types, and popular localities in order to increase revenue and improve user experience.