Skip to content
View passportpowell's full-sized avatar

Block or report passportpowell

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
passportpowell/README.md

Hi, I’m Otis Powell

AI & Energy Data Engineer working on production-grade data pipelines, automation, and interactive dashboards for decision support.

What I Do

  • Build end-to-end data workflows: ingestion (APIs), cleaning, feature engineering, and analytics
  • Develop ML prototypes for classification and forecasting, then package them into usable tools
  • Create interactive data visualizations and dashboards with Streamlit + Plotly
  • Turn messy datasets into clear stories: charts, scoring models, and exportable outputs

Tech Stack

  • Languages: Python, ([GitHub][1])
  • Data & ML: Pandas, NumPy, Scikit-learn, TensorFlow/Keras ([GitHub][2])
  • Visualization: Plotly, Streamlit, Matplotlib ([GitHub][3])
  • Web: Django, HTML/CSS ([GitHub][4])
  • Tools: Git, Jupyter, VS Code, Docker ([GitHub][3])

Selected Work

  • TravelTiming (Streamlit + Plotly + OpenAI + Open-Meteo): travel recommendation app with scoring algorithm, API-driven climate data, and interactive visualizations ([GitHub][3])
  • Powdery Mildew Detection (ML + Streamlit): real-time image classification dashboard, deployed as a live app ([GitHub][2])
  • Django Travel Blog: full-stack app with authentication, Cloudinary media uploads, and PostgreSQL support ([GitHub][4])

Current Focus

Building more robust analytics and visualization patterns for climate and energy datasets, with an emphasis on reusable pipeline components and dashboard-first delivery.

Get in Touch

Pinned Loading

  1. travel-climate-analyzer travel-climate-analyzer Public

    AI travel planner built with Streamlit, Plotly, and OpenAI. Uses Open‑Meteo climate data, crowd/cost indices, and a scoring algorithm to recommend the best months for 40+ cities. Includes LLM summa…

    Python

  2. travel-adventures-frontend travel-adventures-frontend Public

    Responsive multi-page frontend project focused on semantic HTML5, CSS3 best practices, and mobile-first design principles.

    HTML 1

  3. geo-quiz-engine geo-quiz-engine Public

    Interactive geography assessment tool built with vanilla JavaScript, focusing on DOM manipulation and state management.

    JavaScript 1

  4. python-word-logic-game python-word-logic-game Public

    A command-line interface (CLI) logic game focusing on Python data structures, error handling, and clean modular code architecture.

    Python 1

  5. django-travel-hub django-travel-hub Public

    Full-stack CRUD travel platform built with Django, featuring user authentication, PostgreSQL database management, and Cloudinary media integration.

    HTML 2

  6. cherry-mildew-plant-disease-vision-ai cherry-mildew-plant-disease-vision-ai Public

    End-to-end Machine Learning pipeline and dashboard for detecting powdery mildew in cherry leaves using Convolutional Neural Networks (CNN).

    Jupyter Notebook 1