Problem:
Users needed a faster way to find the most relevant counselor based on specialization and available data.
Solution:
Built a recommendation workflow using PySpark for data processing and Redis for fast lookup and recommendation serving.
Tools:
Python, PySpark, Redis, Docker, Docker Compose
Result:
Created a containerized recommendation system that processes counselor data and returns relevant matches efficiently.
0 likes · 0 views · Jun 25, 2026
Problem: Users needed a faster way to find the most relevant counselor based on specialization and available data. Solution: Built a recommendation workflo...
