Data Engineer & Analyst
I specialize in designing scalable data pipelines and transforming complex data into strategic insights that drive business decisions through advanced analytics and compelling visualizations. With a background in computer science and artificial intelligence, I help organizations make data-driven decisions by leveraging tools like Python, SQL, Snowflake, Tableau, Excel, and Airflow.
I believe in the power of data to solve real-world problems and drive innovation. I combine engineering best practices with analytical thinking to build systems that bridge the gap between complex data and meaningful insights, making analytics accessible and actionable for businesses and individuals alike.
Through my work, I aim to contribute to projects that have a positive impact on society while continuously learning and adapting to the evolving data landscape.
Beyond tech, I'm passionate about continuous learning and helping others succeed. I am a calm person who enjoys reading books, watching movies, listening to gospel music, and playing games. My faith and values shape how I approach both work and relationships. I’m Nigerian, currently living in Windsor, ON, Canada.
I enjoy building scalable data pipelines and integrating diverse data sources to support analytics and machine learning workflows. My experience includes ETL pipeline automation, data modeling, and warehousing using tools like Snowflake, Airflow, and Python.
I am passionate about uncovering insights through data. From cleaning and transforming datasets to building dashboards and reports, I use tools like Excel, Tableau, and SQL to help stakeholders make informed decisions backed by data.
I explore machine learning solutions for classification, regression, and prediction tasks. I’ve worked with Scikit-learn, TensorFlow, and PyTorch to train and evaluate models that drive business impact.
I have a deep interest in language models and text analysis. I have used NLP techniques for tasks like summarization, classification, and building both basic and semantic search engines. I use tools like Hugging Face Transformers, NLTK, and vector similarity techniques to develop models that understand text beyond keywords.
A modern SQL data warehouse using Medallion Architecture (Bronze, Silver, Gold) to transform and integrate over 100K+ raw ERP and CRM records into a clean, analytics-ready star schema, achieving 98%+ data quality through robust T-SQL transformations, standardization, and integrity checks.
Git
GitHub
Draw.io
An automated end-to-end pipeline to extract, transform, and load beauty purchase data using Python, Snowflake, and Airflow, enabling real-time trend analysis and interactive visualizations in Tableau to uncover spending habits and product preferences.
Python
Snowflake
Tableau
An interactive Excel dashboard designed to empower business decisions by turning raw coffee sales data into clear, actionable insights using advanced formulas, pivot tables, and clean visual storytelling.
Excel
Data Visualization
Interactive Sales Performance and Customer Analysis Tableau dashboards designed to help business stakeholders uncover sales trends, understand customer behaviour, and make data-driven decisions.
Tableau Data Visualization
A Snowflake-powered data pipeline with Streamlit visualization to analyze the relationship between weather patterns and sales trends in Hamburg, Germany.
Python Snowflake
Streamlit
Developed and compared five NLP models - FastText, BERT, DistilBERT, RoBERTa, and XLNet - to classify product reviews as positive or negative, using pre-trained architectures and fine-tuning techniques.
Python
Hugging Face
Scikit-learn
Developed a predictive model using XGBoost and Stratified K-Fold to identify customers likely to subscribe to bank term deposits, addressing class imbalance and optimizing performance.
Python Scikit-learn
Exploratory Data Analysis Python Snowflake Excel Tableau
Metabase Scikit-learn Hugging Face
Asana
ClickUpInterested in working together or have questions about my work? I'd love to connect.