Research Assistant
Department of Accountancy, UIUC
Mar 2024 - May 2024
Key Achievements
- Developed a course pathway recommendation tool using clustering on alumni data
 - Deployed a Streamlit app to provide interactive recommendations
 - Built Power BI dashboards to track student outcomes and course efficacy
 - Provided data-driven insights for academic decision making
 
Problem Statement
- Students needed guidance on course selection to optimize career outcomes
 - Department required insights into which course combinations led to better job placements
 - Need for a scalable tool to automate course recommendations based on career goals
 
Technical Implementation
- Cleaned and preprocessed alumni data including course histories and career outcomes
 - Applied clustering algorithms to identify successful course pathway patterns
 - Developed recommendation engine using similarity metrics and career alignment
 - Built interactive Streamlit web application for real-time recommendations
 - Created comprehensive Power BI dashboards for department leadership
 - Implemented automated data refresh pipelines for up-to-date insights
 
System Architecture
                       +----------------------+
                       |   Data Integration   |
                       +----------------------+
                                  |
                                  v
                     +---------------------------+
                     |   Analysis & Insights     |
                     | - Data cleaning &         |
                     |   preprocessing           |
                     | - Anonymization           |
                     | - Alumni Cohort analysis  |
                     | - KNN & clustering model  |
                     +---------------------------+
                                  |
                                  v
                       +----------------------+
                       |      Delivery        |
                       | - Streamlit frontend |
                       +----------------------+
                                        
                                    Impact
- Enabled data-driven course selection for students
 - Provided department with actionable insights on curriculum effectiveness
 - Identified high-value course combinations for specific career paths
 - Streamlined advising process with automated recommendations
 
Technologies Used
                                    Python
                                    Streamlit
                                    Clustering
                                    Power BI
                                    SQL
                                    Data Analysis
                                    Data Visualization