Turning data into clarity, strategy, and real business impact.
I'm a Business Information Technology student specializing in Data Analytics. I design end-to-end data workflows — from gathering and cleaning data, to building analytical models, to presenting insights that drive decisions.
Skilled in SQL, Python (Pandas), Power BI, and Excel, I enjoy solving complex data problems and communicating results clearly to both technical and business teams. Passionate about automation, BI dashboards, and scalable data systems.
Data Analyst & Quality Assurance Professional specializing in the end-to-end data lifecycle, from initial analysis to final business application.
My technical skills and expertise levels
My academic background and qualifications
Sep 2020 - Dec 2025
Business-focused IT program with specialization in Data Analytics, covering end-to-end data lifecycle from cleaning and analysis to visualization and insights.
Aug 2018 - Apr 2019
Comprehensive Civil Engineering Technology Certificate program providing foundational technical knowledge and professional competencies essential for infrastructure and construction projects.
Jun 2015
Completed Grade 12 with strong academic foundation.
Professional and academic projects spanning data analysis, cloud computing, APIs, and automation
Upcoming project analyzing the relationship between weather patterns and agricultural crop prices. Utilizing K-means clustering to identify seasonal patterns, time series analysis for price seasonality detection, and correlation analysis to predict crop price movements based on weather sensor data.
Technologies: Python (Pandas, Scikit-learn), K-means clustering, Time Series Analysis, Correlation Analysis
Upcoming automation project leveraging n8n workflows to discover and catalog new databases. Integrating local LLMs via Ollama to automatically generate comprehensive data dictionaries, enabling data analysts to quickly understand database schemas and accelerate analysis workflows.
Technologies: n8n, Ollama, Local LLMs, Database Discovery, Metadata Generation
Analyzed 3,600+ vessel assignment records from British Columbia's maritime operations. Built automated data quality checks using Python/Pandas and identified timestamp anomalies affecting 0.11% of records.
Python-based application for interacting with the live Winnipeg Transit API. Fetches real-time schedule and stop data, allows user selection, and displays color-coded arrival times based on bus status.
Tech Stack: Python, Jupyter Notebook, API Integration (requests), JSON parsing, colorama
Interactive terminal application that fetches Mars Rover data from the NASA API. Features dynamic photo display, user-friendly command-line menu, and image pagination using the Pillow library.
Tech Stack: Python, API Integration (requests), Pillow (PIL), Menu library, Jupyter Notebook
Cloud-based client-server architecture demonstrating AWS Lambda integration. Calculates standard deviation of datasets using serverless functions with secure credential management and temporary session-based authentication.
Tech Stack: Python, AWS Lambda, boto3, AWS IAM, Serverless Architecture
Full-stack web application deployed on AWS EC2. Calculates maximum, average, and standard deviation with a user-friendly web interface. Demonstrates complete workflow for deploying Python applications to cloud infrastructure.
Tech Stack: Python, Flask, HTML/CSS, AWS EC2, Ubuntu Server, SFTP
Professional development and specialized training in data analytics and machine learning
Comprehensive certification covering data cleaning, SQL, R programming, Tableau visualization, and business intelligence. Completed capstone project with real-world dataset analysis.
Advanced course focusing on data manipulation, indexing, slicing, and complex boolean operations. Mastered handling large datasets and data cleaning techniques with Python's Pandas library.
Deep dive into machine learning fundamentals including linear regression, classification algorithms, gradient descent mathematics, and vectorization using scikit-learn.
Successfully completed the Introduction to Networks course covering IP addressing, Ethernet protocols, switch and router configuration. Earned 14+ hours of hands-on lab experience using Cisco hardware and Packet Tracer tools.
Completed AWS Academy Cloud Foundations course with foundational understanding of AWS cloud technology, including core services, storage, databases, and networking architectures for cloud infrastructure.