Project Summary: Offshore Wind Farm Design & Analysis

Domain: Renewable Energy Skill: Research

Over a three-week period, I utilized the Youwind platform to design and analyze offshore wind farm layouts off the coast of Nova Scotia. Leveraging my GIS background, I transitioned from using predefined areas to creating custom polygon boundaries for layout optimization.

Key Technical Workflows:

• Layout Optimization: Generated turbine layouts using wake-optimized positioning and maximum spacing configurations.
• Spatial Analysis: Utilized the split function to divide areas of interest into equal sections, analyzing the correlation between turbine density and wake losses.
• Electrical Design: Engineered a mock transmission system by siting onshore and offshore substations and routing array cables using intuitive generation tools.
• Performance Metrics: Focused on the Turbine Layout, Wakes, and Electrical Transmissions modules to interpret how specific coordinates and exclusion zones impact energy yield.

Outcomes & Future Objectives: Through technical support and one-on-one tutorials, I became familiar with the platform’s core workflows to achieve tangible design outcomes. Moving forward, I aim to integrate financial modelling to compare the CAPEX of different sites, specifically analyzing the trade-offs between cabling costs, wake efficiency, and exclusion zone restrictions.

Project Summary: Multispectral Satellite Enhancement

Domain: Hazard Skill: Remote Sensing / Research

This presentation poster was developed to demonstrate advanced image enhancement techniques applied to remotely sensed imagery. The project focuses on the Mauna Loa volcanic eruption in Hawaii, captured on November 27th, 2022.

Key Technical Objectives:

• Visual Optimization: Applied various contrast stretching and filtering techniques to make volcanic plumes and thermal activity more distinct from the surrounding terrain.
• Feature Extraction: Enhanced spectral signatures to allow for easier identification of active lava flows and ash dispersion.
• Research Readiness: Prepared high-fidelity imagery suitable for further geospatial research and temporal analysis.

Note: Please click on the poster image above to enter Zoom Mode. This will allow you to read the fine technical details, methodology, and results documented in the draft.

Project Summary: Places of the World (Python for QGIS)

Domain: Population Tracking Skill: GIS

Places of the World is a custom PyQGIS tool designed to automate spatial demographic analysis. The program allows users to interactively select global locations within QGIS and generate a structured geospatial report based on Esri shapefile attributes.

Key Technical Features:

• Spatial Data Integration: Developed a workflow to ingest point features and overlay them with OpenStreetMap (OSM) basemaps via the QuickMapServices plugin.
• Interactive Selection: Built the script to recognize user-defined spatial selections (Polygon Tool). It features a "Default Selection" logic that processes the entire global dataset if no specific area is isolated.
• Quadrant Analysis Logic: Programmed a spatial categorization engine that sorts points into the four global hemispheres (NE, NW, SE, SW) based on coordinate geometry.
• Dynamic Reporting: Automated the generation of .txt reports that calculate:
  • Total location counts and aggregate populations per hemisphere.
  • Statistical extremes (identifying the highest and lowest population centers).
  • Complex edge-case handling for population ties, listing all relevant place names.
• User Input Handling: Implemented a prompt-based system for custom directory and file naming, including automated file path string formatting.

Technical Takeaways: This project demonstrates proficiency in PyQGIS scripting, spatial attribute manipulation, and automated reporting. Future iterations aim to improve data visualization by outputting results in tabular formats and expanding the geographic attribute dataset.

Project Summary: Orthorectification Accuracy Assessment

Domain: Land Analysis Skill: Remote Sensing

Precision Orthorectification: Aerial Imagery Accuracy Assessment
This project focused on the high-resolution orthorectification of raw aerial photography using PCI Geomatica (Catalyst). By integrating a Digital Elevation Model (DEM) and georeferenced reference data, I transformed raw flightline imagery into a map-accurate product.

Key Technical Workflows:

• Source Data Management: Utilized a KML air photo index to select and isolate specific flightline imagery from the Annapolis Royal dataset.
• Orthorectification Process: Corrected geometric distortions by tying raw imagery to a 1m Digital Elevation Model (DEM) and a 25cm georeferenced base raster.
• Rigorous Accuracy Assessment: Collected Ground Control Points (GCPs) and independent Check Points (CPs) across the scene to validate spatial integrity.
• Error Optimization: Achieved a sub-pixel RMS error of less than 25cm, meeting strict project specifications for UTM Zone 20 NAD83 coordinate accuracy.
• Visual QA/QC: Conducted a final comparative analysis between the output ortho-image and reference datasets to ensure seamless alignment and feature consistency.

Project Summary: Portfolio December 2025

Domain: Professional Development Skill: Web Development

COGS Professional Identity: GIS & Full-Stack Integration Portfolio
Developed during the Geographic Information Systems Graduate Certificate program at NSCC, this comprehensive web project serves as a professional hub for a career transition. It integrates a decade of media expertise with modern spatial sciences, utilizing a video-integrated UI to showcase academic schedules, professional experience, and technical projects.

Key Technical Workflows:

• Dynamic Multimedia Background: Engineered a modern visual experience using a fixed-position 1080p MP4 video loop, providing a high-tech "digital globe" aesthetic across all site sections without impacting content scannability.
• Structural Semantics & Navigation: Built a multi-page architecture (Home, Experience, Schedule, Contact) using semantic HTML5 and a responsive CSS navbar with hover-active states and utility classes for layout alignment.
• Complex Data Visualization: Developed a color-coded academic schedule using HTML table structures with rowspan and colspan attributes to visualize concurrent GIS and Programming fundamental courses.
• Cross-Disciplinary Skill Matrix: Documented technical proficiency across three distinct domains: GIS Analysis (QGIS, ArcGIS Online), Software Development (Java, Python, C#, React), and Expert-Level Media Editing (12 years in After Effects and Premiere Pro).
• Project Management & Internship Reflection: Systematically detailed professional milestones, including backend development for Chebucto Community Net and leading the Park Buddy capstone project through Agile/Sprint methodologies.

Project Summary: Portfolio December 2024

Domain: Professional Development Skill: Web Development

Legacy Professional Portfolio: Multi-Disciplinary Digital Showcase
This project involved the design and development of a custom, responsive portfolio website built to bridge the gap between my background in Film Studies and IT Programming. It serves as a central hub to showcase full-stack development projects alongside a decade of professional media editing experience.

Key Technical Workflows:

• 3D Environment Integration: Implemented Three.js to render an interactive, mobile-responsive 3D globe within the hero section, utilizing modern importmap configurations for modular JavaScript.
• Responsive UI Framework: Built a fluid, mobile-first interface using Bootstrap 5, featuring sticky navigation, custom grid layouts, and theme-shadow styling for a modern aesthetic.
• Interactive Media Gallery: Integrated the Fancybox UI library to provide high-resolution, lightboxed previews of programming projects and cinematography work.
• Full-Stack Project Documentation: Curated detailed post-project reflections for various applications, including 3D interactive books (BookGlide), community-driven GIS tools (ParkBuddy), and database-driven explorers (IMDB Explorer).
• Cross-Platform Asset Management: Optimized a diverse range of media assets, highlighting proficiency in both programming languages (Java, C#, Kotlin) and creative software (Adobe Premiere Pro, After Effects, DaVinci Resolve).

Project Summary: Wind Turbine Data Analysis

Domain: Renewable Energy Skill: Data Analytics

Building an ETL Pipeline for Geospatial Data Analysis: Nova Scotian Turbine Report
This project involved developing a robust ETL (Extract, Transform, Load) workflow to analyze the relationships between wind turbine technical specifications. Utilizing R and the tidyverse, I processed raw geospatial data to examine correlations between Turbine Rated Capacity, Hub Height, and Rotor Diameter.

Key Technical Workflows:

• Environment & ETL Setup: Configured a data pipeline using GGally and patchwork libraries. Implemented data type enforcement using the mutate function to ensure high-precision numeric analysis.
• Numeric Variable Analysis: Generated comprehensive summary statistics (mean, median, SD, IQR) to establish a baseline for the Nova Scotia turbine dataset.
• Distribution Visualization: Engineered a multi-plot dashboard featuring Density Plots, Histograms, and Box Plots to identify data spikes, skewness, and significant outliers in turbine dimensions.
• Correlation Analysis: Applied the Spearman Method to assess statistical trends. Discovered a strong correlation (0.817) between Hub Height and Rotor Diameter, while identifying non-linear anomalies in capacity-to-height ratios.
• Advanced Matrix Reporting: Developed a Scatterplot Matrix to visualize all bivariate relationships simultaneously, providing a holistic view of how physical turbine constraints impact energy yield.
• Frequency modelling: Conducted frequency and proportion counts to identify industry standards within the region, identifying the 80m hub height and 2300kW capacity as the most frequent regional configurations.

Conclusion: This project demonstrates proficiency in statistical programming and geospatial data cleaning. The analysis successfully validated that while physical dimensions (height and diameter) scale linearly, electrical capacity follows a more complex optimization curve influenced by external technological factors.

Project Summary: The Rivers of South America

Domain: Land Analysis Skill: GIS / Cartography

The Rivers of South America is a high-resolution cartographic study that visualizes the continent's complex water networks. By processing HydroSHEDS global data, the project shows the relationship between geographic scale and water volume, specifically focusing on the massive physical presence of the Amazon drainage system. The map uses Strahler Stream Order attributes—a system that ranks rivers by their number of tributaries—to drive a visual hierarchy, ensuring the line thickness and color accurately reflect the size and flow of each river system.

Key Technical Workflows:

• Data Processing: Sourced and clipped HydroSHEDS shapefile data specifically to the South American continental boundary to isolate the primary drainage basins.
• Dynamic Symbology: Utilized the Expression Builder in QGIS to define line widths based on the Strahler Order ("ORD_STRA" / 10), creating a visual hierarchy that reflects physical river volume.
• Stream Order Classification: Applied categorized symbology to differentiate stream orders, utilizing a graduated color ramp from deep blue to white to represent the transition from major river trunks to high-altitude headwaters.
• Professional Layout Design: Developed a high-contrast print layout with a black canvas, disabling background rendering to allow the hydrological network to stand out as the primary focal point.

Outcomes: The resulting map effectively highlights the Amazon basin’s intricate structure, demonstrating advanced competency in vector data management and thematic cartography. This workflow can be adapted for any global region to support climatology, hydrology, or environmental planning studies.

Project Summary: Supervised Land Classification

Domain: Land Analysis / Forestry Skill: Remote Sensing / GIS

This project involved performing a complex Supervised Image Classification of Landsat 9 multispectral imagery covering the Annapolis Valley, Nova Scotia. Using Catalyst Focus and ArcGIS Pro, I transformed raw spectral data into a refined thematic map identifying six primary land cover information classes.

Key Technical Workflows:

• Image Preparation & Pan-sharpening: Processed Level 1 Landsat 9 bundles, performing pan-sharpening and clipping to a specific area of interest (AOI) to enhance spatial resolution for feature identification.
• Supervised Training & Signature Analysis: Manually digitized training areas to create distinct spectral classes. Evaluated signature quality using Bhattacharrya Distance for separability, scatter plots for spectral overlap, and histograms for class homogeneity.
• Class Aggregation & Post-Processing: Aggregated various spectral classes (e.g., bare soil, rock, and quarry) into higher-level Information Classes (e.g., Barren). Applied a Sieve Filter to reduce "salt-and-pepper" noise while maintaining critical linear features like transportation networks.
• Rigorous Accuracy Assessment: Conducted a non-biased accuracy assessment using 25+ independent random reference samples per class. Generated Confusion Matrices and Kappa Coefficients to statistically validate the classification reliability.

Outcomes: The final output was a 24” x 36” professional-grade map following NRCAN standards. The project demonstrated proficiency in the full remote sensing lifecycle—from raw sensor data ingestion and statistical validation to final cartographic production.

Project Summary: Subcatchment Mapping

Domain: Land Analysis Skill: GIS / Cartography

This project involved the development of a professional topographic and hydrological map of Lesotho. Using ArcGIS Pro, I synthesized elevation gradients with sub-catchment data (WS1–WS10) to visualize the relationship between terrain and water management infrastructure.

Key Technical Workflows:

• Data Synthesis & Cleaning: Processed raw spatial layers including DEM-derived elevation gradients, river networks, and specialized hydrological/meteorological station data.
• Advanced Symbology: Styled 10 distinct sub-catchment areas (WS1-WS10) using unique categorical identifiers, overlaid on a graduated elevation color ramp to provide geographic context for drainage patterns.
• Layout Engineering: Designed a comprehensive map layout including a secondary map frame (extent indicator) to provide regional context within Southern Africa.
• In-Map Data Tabulation: Integrated dynamic data tables directly into the layout to display catchment-specific attributes, such as calculated area in hectares, for improved technical utility.

Outcomes: The final product is a technical-grade PDF/JPEG export featuring a full suite of cartographic elements: North arrows, scale bars, legend optimization, and ESRI basemap attributions. This map serves as a template for catchment-scale environmental reporting and water resource management.

Project Summary: "Relaxation Space" – Immersive Ambient Web Platform

Domain: User Experience Skill: Web Development

During a four-month Web Development internship, I assisted in development at Little Symphony Inc. with the production of "Relaxation Space", a sophisticated ambient soundscape generator. The platform empowers users to become "sound architects," blending high-fidelity geographic audio—ranging from forest environments to diverse river variants—with modular musical layers.

Core Technical Contributions:

• Full-Stack Development: Architected the front-end using React and Chakra-UI, while leveraging Supabase for user authentication and real-time database management of "Followed" spaces.
• Modular Audio Engine: Implemented multi-track slider functionality allowing users to balance nature sounds with customizable instrument layers (Cello, Piano, Synth Pads).
• Responsive UI/UX: Developed the platform with a "mobile-first" mindset using Tailwind CSS, ensuring a seamless experience across web and mobile browsers.
• Community Features: Engineered logic for "Public Searchable Spaces," allowing users to save, share, and follow custom-created ambient playlists.

Professional Growth: This role required an intensive, self-directed deep dive into React and modern web ecosystems. Under mentor supervision, I transitioned from fundamental GIS-based programming to deploying a complex, community-driven web application tailored for sleep, focus, and meditation.

Project Summary: ParkBuddy App for Capstone Project

Domain: User Experience / Project Management Skill: Web Development

Project Summary: Best Path Raster Analysis

Domain: Land Analysis Skill: Raster Analysis / Modelling

Project Summary: Point Classification: LiDAR Terrain Modelling

Domain: Land Analysis / Forestry Skill: LiDAR / Remote Sensing

Project Summary: Bus Stop Accessibility Study

Domain: Urban Planning Skill: GIS

Project Summary: Gold Mine Land Suitability

Domain: Land Usage Skill: GIS

Project Summary: Spatial Database Design & Querying

Domain: Forestry Skill: Database Management / GIS

This project involved the end-to-end creation of a spatial database for "COGS Park." I architected a PostgreSQL/PostGIS database to store complex forestry data and performed advanced spatial joins and geometric queries to extract management insights.

Database Architecture (Part A):

• Schema Design: Created a relational structure for 5 core feature classes: Facilities (points), Rivers and Roads (lines), and Forest Stands (polygons).
• DDL Scripting: Developed a comprehensive SQL script to automate table creation, primary key generation, and the manual addition of geometry columns using AddGeometryColumn syntax.
• Manual Digitization: Populated the database with features based on coordinate grid units, ensuring topological integrity between forest stands and intersecting road/river networks.

Spatial Analytics & Management Reporting (Part B):

I utilized PostGIS spatial functions to answer complex management questions, including:

• Topological Overlays: Identified which forest stands are crossed by specific rivers (ST_Crosses) and which administrative facilities reside within the Spruce stands (ST_Within).
• Proximity Analysis: Calculated precise distances between ranger stations and water sources, and identified facilities within a 1-unit "buffer" zone of the road network (ST_Distance).
• Quantitative Reporting: Generated automated reports for total road lengths categorized by composition (Paved vs. Gravel) and area calculations for specific silvicultural stands.

Visualizing the Results

The backend data was brought into QGIS for final cartographic production. Key features include:

• Dynamic Labeling: Implemented curved road labels with text buffers for maximum readability.
• Categorized Symbology: Styled forest stands by species and road networks by composition to provide a clear operational overview.

Project Summary: Halifax Harbour Coastal Reclamation Analysis (1916–2025)

Domain: History Skill: GIS

This project involved a comprehensive spatial analysis of shoreline modification in Halifax Harbour. By comparing century-old hydrographic charts with modern satellite data, I quantified the extent of human-induced land reclamation and morphological change.

Analytical Workflow:

• Georeferencing Historical Archives: Successfully aligned a 1916 Canadian Hydrographic Service chart (Bedford Basin sheet) with modern coordinate systems using 1st-order polynomial transformations.
• Gap Analysis & Vectorization: Manually digitized the historical high-water mark and overlaid it against 2025 satellite imagery to identify "fill" zones and infrastructure expansion.
• Area Calculation: Utilized geodesic geometry to calculate that 0.77 sq km of land has been reclaimed or significantly modified within the study area over the last 110 years.

Technical Cartography:

The final deliverable was produced in ArcGIS Pro, utilizing advanced layout techniques to convey complex historical data clearly:

• Comparative Map Frames: Developed a dual-frame layout featuring a wide-extent overview and a high-detail inset to showcase specific areas of reclamation.
• Engineering Standards: Implemented measured UTM grids (Zone 20N), dynamic text for automated area totals, and professional neatlines.
• Data Integrity: Integrated official metadata citations and clear symbology to distinguish historical baselines from modern coastal footprints.

Esri Canada GIS Ambassador Program

Domain: Community Involvement Skill: Geospatial Advocacy

As a GIS Ambassador for Esri Canada, I had the privilege of visiting a middle school to introduce students to the power of geospatial thinking. Using the National Geographic MapMaker, I led an interactive demo designed to transform abstract geography into a tangible, digital exploration of our world.

Educational Demo Workflow:

I guided the students through a live "Global Discovery" workflow, moving from basic navigation to complex environmental analysis:

• Introduction to Geospatial Tools: We began by exploring Basemaps and utilizing the measuring tool to grasp the vast physical scale of Canada.
• Human Impact Visualization: By layering Light Pollution data over global Population centers, students visualized the correlation between urbanization and environmental footprint in regions like Tokyo and Europe.
• Climatology & Orographic Effects: We analyzed the Tibetan Plateau, comparing its massive scale to the width of Canada. Students used the Split Tool to compare temperature and precipitation, discovering why the Himalayas force moisture out of clouds before they reach the plateau.
• 3D Terrain & Elevation Profiling: Switching to 3D Mode, we explored the Himalayan foothills. We utilized the elevation profile tool to visualize vertical gain, discussing how the software accounts for ridges and valleys between two points.

Applied Problem Solving: The "Ice-Free Road" Challenge

To conclude, I challenged the students to act as Civil Engineers. Their mission: Plan a strategic road connection in Nepal, linking the Kosi river region to Como Chamling Lake.

• Constraint Mapping: The road had to remain in areas >0°C to avoid icing hazards. Students had to analyze temperature pop-ups to ensure the route stayed within "safe" thermal zones.
• Route Optimization: Students identified traversable valleys using the legend and plotted a multi-point path through the rugged Nepalese terrain.
• Analysis: We generated an Elevation Gain Chart for their custom route to visualize the climb and ensure the road was feasible for construction.

GANS Future Strategy Committee

I was selected as an early-career representative for the Geomatics Association of Nova Scotia (GANS) Future Strategy Committee. In this role, I contribute to a high-level initiative designed to modernize the association and ensure its long-term value within the provincial geospatial ecosystem.

Strategic Objectives:

The committee is tasked with analyzing the current state of the geomatics community in Nova Scotia and recommending a sustainable path forward. My contributions focus on:

• Community Needs Assessment: Identifying the modern requirements of industry, government, and academia to ensure GANS remains a relevant hub for professionals.
• Next-Generation Advocacy: Influencing how GANS supports early-career professionals and students, ensuring the association provides tangible career value and mentorship opportunities.
• Operational & Funding Strategy: Evaluating sustainable governance models and funding structures to maintain the association’s capacity to support local geomatics initiatives.
• Modernizing the Mandate: Collaborating on a 4-month strategy to redefine GANS’ core priorities, partnerships, and membership value in a rapidly evolving technological landscape.

Impact: By serving as a bridge between established industry leadership and the emerging workforce, I help ensure that Nova Scotia's geomatics professional network is resilient, inclusive, and prepared for future technological shifts.

Timeline: January 2026 – Present

Project Summary: Skills in Development

Advanced Geospatial Skill Acquisition: Graduate Technical Development
Currently undergoing intensive technical training at The Centre of Geographic Sciences (COGS). This phase of development focuses on mastering high-precision spatial data to support GIS planning and energy logistics.

Enterprise Data Management & Infrastructure:

Mastering ArcGIS Enterprise, Oracle, and GeoServer to build robust back-end systems for multi-user databases.

Remote Sensing & Elevation Modelling:

Developing competencies in LiDAR and Raster Analysis using MicroStation and Global Mapper.

Independent Professional Development:

Proactively pursuing self-taught skills in AutoCAD and windPRO for specialized planning and energy logistics.

Project Summary: Additional Softwares and Platforms

Multidisciplinary Technical Proficiency: Beyond Geospatial Analysis
Maintaining a diverse technical toolkit that bridges the gap between software engineering and professional post-production. This range of expertise allows for the development of custom technical solutions and high-fidelity visual communication.

Software Development & Programming:

Proficient in building structured logic and back-end systems using React, Java, Supabase, Leaflet, C, C++, and C#. These languages form the foundation of my ability to develop custom tools and integrate complex data structures.

Professional Media Production & Post-Processing:

Expertise in cinematic storytelling and asset creation using Adobe Premiere Pro, After Effects, and DaVinci Resolve, complemented by precision image editing in Photoshop and Lightroom.

Note: Due to licensing and project privacy, source code repositories and full video reels for these platforms are available upon request.