About Me

I am a Master of Data Science and Analytics student at the University of Calgary. I bring a background in technical support and project coordination, and I am passionate about solving real-world problems using data. My skill set includes Python, R, SQL, data wrangling, and data visualization using tools like Tableau, Seaborn, and Matplotlib.

  • Analytical
  • Curious
  • Technical

Economic Shifts in Calgary

Analyzed unemployment, wages, and retail data across Calgary, Alberta, and Canada using Python. Assessed the pandemic's impact and industry-specific recovery trends.

Statistical Inference in a Cocaine Drug Bust

Used R and probability theory to assess evidence validity in a real-life trial, applying hypothesis testing for data-based judicial analysis.

CO₂ Emissions Modeling in Canada

Built multiple linear regression models to identify predictors of vehicle CO₂ emissions including fuel use, engine size, and weight.

Oil Prices and Stock Market Trends

Created a MySQL database integrating 12+ datasets including GDP, inflation, oil prices, and stock data. Delivered insights through visualization and analysis of Canadian energy stocks.

Skills and Tools

Combining technical expertise with business acumen to deliver data-driven solutions

  • Languages

    Python, R, SQL, JavaScript, HTML, CSS

  • Data Tools

    Pandas, NumPy, Matplotlib, Seaborn, MySQL, RStudio

  • Visualization

    Tableau, Excel, Seaborn, Matplotlib

  • Technologies

    Git, Jira, Confluence, Salesforce, Zendesk

  • Project Support

    Project coordination, stakeholder reporting, documentation, and cross-functional collaboration

  • Soft Skills

    Problem solving, analytical thinking, client communication, teamwork