Coursework

Course Work

• Data Structures and Algorithms

  • Traffic using Dijkstra’s Algorithm: For this assignment, I first used Dijkstra’s Algorithm to evaluate the shortest route in time from a designated initial point (A) to a final destination point (J). Then, I evaluated the shorted route between two points in rush hour with high traffic, which causes delays on most of the routes.
  • Table of Contents: In this file, I created a table of contents for a Data Science technical book using a tree structure to organize my data hierarchically. Additionally, I developed two functions- one to insert chapters or subchapter titles and another to print the table of contents.
  • Book Analysis: In this file, I analyzed the book “Alice’s Adventures in Wonderland” and identified the distribution of each letter from a to z, the top 40 words used in the text, the top 20 bigrams used in the text, and the top 20 trigrams used in the text.
  • Probability of Coincidences Related to Birthdays: In this assignment, I developed algorithms to calculate probabilities for shared birthdays, specific birthday distributions, and age statistics. I optimized each algorithm for scalability, analyzing their complexities, and used Matplotlib to visually represent the results. Additionally, I modified the algorithms to handle large datasets, ensuring they remained efficient with 1,000,000 members.

• Data Mining

  • Opioid Crisis Project: This project is a comprehensive group assignment that applies concepts learned in the Data Mining course. My team and I worked with real data about the opioid crisis to answer research questions, perform data mining techniques, and communicate findings through a professional project website.

• Statistics

  • Heart Disease Trends by Demographic: A Statistical Analysis(Report): This project is a comprehensive statistical analysis that explores real-world health data from multiple medical institutions to investigate the demographic and clinical factors most associated with heart disease. Through exploratory data analysis, hypothesis testing, and bootstrapping methods, I identified key trends and statistically significant relationships. The findings were communicated through detailed visualizations and a formal report that offers insights into heart disease risk factors and potential public health implications.

• Information Visualization

  • Real World Chart Transformations Presentation: I redesigned three poorly made real-world charts by analyzing their context and identifying key issues such as clutter, poor storytelling, and cognitive overload. I applied data visualization best practices to create clearer, more effective alternatives using Google Sheets. I then presented the improvements in a slide deck and led a 15-minute discussion with peers acting as stakeholders.
  • Real World Data Dashboard: I designed a dashboard in Power BI to explore the relationship between student behavior and academic performance using real-world data. The dashboard visualizes metrics such as study hours, sleep, stress, attendance, and participation, broken down by grade, gender, and department. I presented this analysis to stakeholders, emphasizing patterns and insights through clear visuals and user-friendly design.
    • Power BI dashboard filtered by students in the engineering department: