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Daniel-Tietie/README.md

👋 About Me

Fourth year Computer Science student at the University of New Brunswick with hands-on experience in data engineering and analytics.

Currently building portfolio projects demonstrating end-to-end data pipelines and analytics dashboards.

🚀 Featured Projects

Housing Market Analysis Dashboard

End-to-end analytics pipeline on the Ames Housing dataset: SQLite storage, gradient boosting price prediction, and a 4-page interactive dashboard covering pricing trends, geographic breakdowns, and risk/volatility metrics.

Tech: Python, SQLite, scikit-learn, Streamlit, Plotly Features: SQL-based analytics, ML price prediction (R² 0.89), interactive dashboard

NBA Analytics Platform (mock dashboard live, pipeline in progress)

Layered PostgreSQL schema and historical game ingestion (3,691+ games) feeding three analytics modules: shot-zone efficiency, playoff seed upset tracking, and MVP statistical profiling. Dashboard currently runs on sample data while Airflow orchestration and analytics ETL are built out.

Tech: Python, PostgreSQL, Apache Airflow (in progress), Streamlit, Plotly Features: Layered schema design, three-module analytics dashboard, real player/team visuals

Multi-Agent Data Analysis System (In Development)

A multi-agent system where AI agents work together to analyze data and answer questions in plain English. Watch agents collaborate in real-time as they break down queries, fetch data, run analysis, and create visualizations.

Tech: LangChain, LangGraph, Chroma, Groq (Llama 3.1), FastAPI, React, D3.js, PostgreSQL Features: Real-time agent visualization, RAG for context-aware queries, interactive dashboards

🛠️ Technical Skills

Programming: Python, SQL, R, Java

Data Engineering: Apache Airflow, Apache Kafka, PySpark, ETL/ELT Pipelines, Data Modeling

Databases: PostgreSQL, MySQL, SQLite, Neo4j

Cloud & DevOps: AWS, Docker, Git

Analytics & Visualization: Excel, Pandas, Power BI, Matplotlib, Seaborn, Plotly, Streamlit

💼 Experience

Analytics Intern | Municipal Property Assessment Corporation (MPAC) | Ottawa, ON | May 2025 – Aug. 2025

Teaching Assistant | University of New Brunswick | Fredericton, NB | Sept. 2024 – Dec. 2024

📫 Let's Connect

LinkedIn • Email

🎯 Currently

  • 🔧 Refining data pipeline and dashboard-building skills
  • 📈 Deepening my focus on data modeling and analytics engineering
  • 🌱 Open to roles in the data analytics and engineering ecosystem

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  1. Daniel-Tietie Daniel-Tietie Public

    About Me

    1

  2. housing-market-analysis housing-market-analysis Public

    End-to-end housing market analytics -- SQL pipeline, ML price prediction, and an interactive Streamlit dashboard on the Ames Housing dataset.

    Python 1

  3. nba-data-pipeline-analytics nba-data-pipeline-analytics Public

    End-to-end ETL pipeline for NBA statistics that processes game data, performs statistical analysis, and predicts outcomes using machine learning models.

    Python 2

  4. langgraph-multi-agent-system langgraph-multi-agent-system Public

    Multi-agent system where AI agents collaborate through LangGraph to analyze data and answer questions in natural language. Real-time visualization of agent workflow.

    2