8000 gloryodeyemi (Glory Odeyemi) · GitHub
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gloryodeyemi/README.md

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Hi, I’m Glory Odeyemi! 👋

I am a data engineer with strong analytical skills and a passion for data-driven solutions. I hold a Master’s in Computer Science with a specialization in Artificial Intelligence from the University of Windsor. My recent work involved exploring encoder-decoder transformer models for text summarization, and I am now focused on expanding my expertise in data engineering, including data pipelines, ETL processes, and cloud technologies.

A Little About Me

✝️ Christian

🏡 Nigerian residing in Windsor, ON, Canada.

📚 Occasional reader and writer ✍️

🧩 Enjoy gaming and watching movies🍿

🐶 Dog lover, but don’t own any (yet!).

🌱 Introverted to all, comfortable with few.

Skills & Technologies

Python SQL PostgreSQL Tableau Excel Snowflake Apache Airflow

Familiar with

Java

Interests

👩‍💻 Data Engineering

📊 Data Analysis

🤖 Machine Learning

🤖 Natural Language Processing

🤖 AI Engineering

Projects

Portfolio Coming Soon!

Feel free to check out my repositories for ongoing projects and code samples.

I’m Currently Learning

👩‍💻 Data Engineer in Python

Certifications

🎓 Linux For Beginners: Linux Basics

🎓 The Complete SQL Bootcamp: Go from Zero to Hero

👩‍💻 Associate Data Engineer in SQL

👩‍💻 Foundation of Data Pipelines

Connect with Me

LinkedIn Twitter Medium Gmail Hashnode

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  1. Beauty_Purchase_Analysis Beauty_Purchase_Analysis Public

    An automated end-to-end pipeline to extract, transform, and load beauty purchase data for analysis and visualization using Python, Snowflake, Airflow, and Tableau.

    Python

  2. SQL-Data-Warehouse SQL-Data-Warehouse Public

    A comprehensive SQL Data Warehouse built from scratch using Azure Data Studio and SQL Server Express. It simulates an enterprise data pipeline using the Medallion Architecture and reflects industry…

    TSQL

  3. Coffee-Sales-Analysis Coffee-Sales-Analysis Public

    An interactive Excel dashboard designed to analyze and visualize coffee sales across multiple dimensions — customers, countries, product types, and time periods.

  4. Sales-Customer-Tableau-Dashboard Sales-Customer-Tableau-Dashboard Public

    Interactive Sales Performance and Customer Analysis Tableau dashboards designed to help business stakeholders analyze sales trends, understand customer behaviour, and make data-driven decisions.

  5. Product_Review_Class_Label_Prediction Product_Review_Class_Label_Prediction Public

    Development and comparison of five NLP models - FastText, BERT, DistilBERT, RoBERTa, and XLNet — to classify product reviews as positive or negative, using pre-trained transformer architectures and…

    Jupyter Notebook

  6. Semantic_Search Semantic_Search Public

    A semantic search engine.

    Python

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