Portfolio

List of Projects by Name

• Chicago wildlife species analysis - a starting point
  Tags: python, jules, tableau, deeplearning, pandas, matplotlib
• Filtering 90% of blank wildife photos for a better UX
  Tags: computervision, ux, ui, node, vercel, mongodb, jules
• Comparing AI computer vision with Human Labeling
  Tags: python, tableau, speciesnet, pandas, ETL
• Deploying a computer vision model
  Tags: python, fastai, html, js, gradio, computervision, CNN, huggingface
• Building a Webapp for Species Geofencing
  Tags: ai, html, js, cursor, jules, claude, gpt4o
• Catch A Vibe Code
  Tags: ai, html, next.js, css, copilot
• Converting from HTML was a project
  Tags: jekyll, ruby, html
• Learning PowerBI
  Tags: powerbi, dax
• Analyzing Camera Trap Pictures with AI
  Tags: python, deeplearning, computervision, opencv, ai, conservation
• Data Science Salaries
  Tags: jobs, looker, dax
• Blueberry Chihuahuas
  Tags: python, deeplearning, computervision, pytorch, ai

List of Projects by Tag

• python: Chicago wildlife species analysis - a starting point, Comparing AI computer vision with Human Labeling, Deploying a computer vision model, Analyzing Camera Trap Pictures with AI, Blueberry Chihuahuas
• deeplearning: Chicago wildlife species analysis - a starting point, Analyzing Camera Trap Pictures with AI, Blueberry Chihuahuas
• computervision: Filtering 90% of blank wildife photos for a better UX, Deploying a computer vision model, Analyzing Camera Trap Pictures with AI, Blueberry Chihuahuas
• pytorch: Blueberry Chihuahuas
• ai: Building a Webapp for Species Geofencing, Catch A Vibe Code, Analyzing Camera Trap Pictures with AI, Blueberry Chihuahuas
• jobs: Data Science Salaries
• looker: Data Science Salaries
• dax: Learning PowerBI, Data Science Salaries
• opencv: Analyzing Camera Trap Pictures with AI
• conservation: Analyzing Camera Trap Pictures with AI
• powerbi: Learning PowerBI
• jekyll: Converting from HTML was a project
• ruby: Converting from HTML was a project
• html: Deploying a computer vision model, Building a Webapp for Species Geofencing, Catch A Vibe Code, Converting from HTML was a project
• next.js: Catch A Vibe Code
• css: Catch A Vibe Code
• copilot: Catch A Vibe Code
• js: Deploying a computer vision model, Building a Webapp for Species Geofencing
• cursor: Building a Webapp for Species Geofencing
• jules: Chicago wildlife species analysis - a starting point, Filtering 90% of blank wildife photos for a better UX, Building a Webapp for Species Geofencing
• claude: Building a Webapp for Species Geofencing
• gpt4o: Building a Webapp for Species Geofencing
• fastai: Deploying a computer vision model
• gradio: Deploying a computer vision model
• CNN: Deploying a computer vision model
• huggingface: Deploying a computer vision model
• tableau: Chicago wildlife species analysis - a starting point, Comparing AI computer vision with Human Labeling
• speciesnet: Comparing AI computer vision with Human Labeling
• pandas: Chicago wildlife species analysis - a starting point, Comparing AI computer vision with Human Labeling
• ETL: Comparing AI computer vision with Human Labeling
• ux: Filtering 90% of blank wildife photos for a better UX
• ui: Filtering 90% of blank wildife photos for a better UX
• node: Filtering 90% of blank wildife photos for a better UX
• vercel: Filtering 90% of blank wildife photos for a better UX
• mongodb: Filtering 90% of blank wildife photos for a better UX
• matplotlib: Chicago wildlife species analysis - a starting point