👨‍💻 Mr. Joshua's Data Science Portfolio

Welcome! This portfolio is a curated collection of my work in data analytics, machine learning, and data engineering, demonstrating full end-to-end project development.

🧠 About Me

I'm Josh — a passionate data scientist and problem solver. My mission is to transform complex data into actionable insights through machine learning, analytics, and automation. Always learning, experimenting, and sharing knowledge.

🎯 Key Focus Areas

  • Machine Learning (Supervised & Unsupervised)
  • Natural Language Processing (NLP)
  • Deep Learning & Time Series Forecasting
  • Data Engineering (ETL Pipelines, Automation)
  • Data Visualization & Insights Communication

📂 Projects

Featured

🔥 Labyrinth of Tartarus — AI-Powered Dungeon Crawler

A browser-based 3D raycasting dungeon crawler with an adaptive ML-powered AI backend. Features real-time raycasting, dynamic lighting, minimap navigation, and a FastAPI backend that adjusts enemy behavior based on player performance using scikit-learn.

Python FastAPI JavaScript scikit-learn Canvas API ML/AI Game Dev
🎮 Play Live 📄 View Code

Engineering Team Time Analysis Dashboard

An interactive dashboard built with pure HTML, CSS, and JS to analyze an engineering team's time logs, featuring KPIs and dynamic SVG charts.

HTML CSS JavaScript Data Viz

NLTK Sentiment Analyzer

Developed a sentiment analysis tool using NLTK's VADER to classify text as positive, negative, or neutral. Includes text preprocessing and visualization of results.

Python NLTK Pandas NLP

Automated Weather ETL Pipeline

Built an automated ETL pipeline integrating Python, Pandas, and APIs to gather, clean, and load daily weather data from OpenWeatherMap.

Python Pandas REST APIs ETL

Stock Price Prediction (LSTM)

Leveraged a Long Short-Term Memory (LSTM) model to forecast stock price trends from historical Yahoo Finance data.

TensorFlow Keras Time Series Scikit-learn

🛠️ Tools & Skills at a Glance

🖥️ Languages

  • Python
  • SQL
  • Markdown / YAML

📚 Libraries & Frameworks

Machine Learning / Deep Learning:

  • TensorFlow, Keras, Scikit-learn

Natural Language Processing (NLP):

  • NLTK

Data Analysis & Visualization:

  • Pandas, NumPy, Matplotlib, Seaborn

⚙️ Data Engineering

  • SQL (PostgreSQL, SQLite)
  • SQLAlchemy (ORM)
  • ETL Pipelines & RESTful APIs
  • Data Preprocessing & Scaling
  • Feature Engineering

📧 Contact