Teaching

Teaching is one of the most rewarding parts of my work. I enjoy helping students build confidence in Python, data visualization, and analytical thinking, especially when they are just starting out. My approach is very hands-on. I focus on practical examples, clear explanations, and projects that show how data science actually works in real settings.

I have taught graduate and undergraduate courses at Northeastern University and the University of New Haven, covering topics such as data visualization, applied data engineering, and introductory analytics. These courses combine Tableau, Python, SQL, and storytelling techniques, giving students a strong foundation for communicating insights and building real data products.

Below are the courses and workshops I’ve taught.

Northeastern University (2025–Present)

• ALY 3070: Communication and Visualization for Data Analytics
  Undergraduate course focused on Tableau, Python-based visual analytics, storytelling, dashboard design, and communicating insights to broad audiences.

University of New Haven (2023–2024)

• EGRM 6605 – Computing and Modeling for Engineering Management
  Graduate course covering Python, SQL, and analytical modeling with a practical, project-based approach.
• INDE 6605 – Computing and Modeling in Industrial Engineering Introduced programming, data analysis, and workflow automation for engineering applications.
• MECH 2201 – Introduction to Applied Programming Hands-on introduction to Python fundamentals, problem-solving, and computational thinking for engineering students.

Workshops and Short Courses

• Deep Learning with Python
• Building Interactive Dashboards with Tableau
• Data Wrangling and Analysis in Python
• U.S. Real Estate Market Trends Visualization