Automated Matching Algorithm for Berklee's "Career Jam" Conference
Overview:
Berklee College of Music's annual Career Jam Conference faced the challenge of efficiently pairing 500 students with industry mentors. The manual process took two weeks, straining resources and potentially compromising match quality. Our automated solution cut this to two hours, transforming the event's organization.
Background:
- 500+ students from various academic levels and majors applied for mentorship sessions
- Limited slots and varied preferences required a fair and efficient system
- Manual process was time-consuming and error-prone
Solution:
I developed an automated system using Python and Zapier:
Data Collection:
- Online form for student preferences
- Zapier automation for database population
Matching Algorithm:
- Python script prioritizes upper semester students
- Matches based on preferences and mentor availability
- Implements fallback options for unavailable first choices
Automated Communication:
- Generates calendar invites and emails
- Sends custom notifications to students and mentors
Achievements:
- Reduced process time from 2 weeks to 2 hours
- Increased participant satisfaction by 35%
- Decreased follow-up queries by 70%
97.5%
Time Saved
Automated process reduced matching time from 2 weeks to 2 hours, allowing staff to focus on improving mentorship quality and event planning.
35%
Increase in Participant Satisfaction
The algorithm improved mentor-student pairing relevance, leading to more meaningful connections and a better overall experience for both students and mentors.
The most innovative and dedicated team member! Amal consistently brings creative solutions to the table, driving projects forward with unmatched work ethic and fresh ideas.
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The 'Career Jam' annual conference faced the problem of manually matching mentors with attendees for one-on-one mentorship sessions. I designed and implemented an algorithm that automated this process, saving the team weeks of work and ensuring better alignment based on skills and experience
