Enhanced Clustering Techniques and Job Application

📅 2025-07-24 — Session: Enhanced Clustering Techniques and Job Application

🕒 01:50–22:00
🏷️ Labels: Clustering, Job Application, JSON, Python, Data Engineering
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to enhance clustering techniques using Python and finalize a professional response for a job application.

Key Activities:

1. Explored saving and loading hierarchical linkage structures using SciPy and NumPy, including .npy and .csv formats.
2. Discussed improvements in clustering with fcluster and alternative methods like HDBSCAN and cosine distance.
3. Outlined strategies for hierarchical data clustering, emphasizing meaningful groupings.
4. Crafted a professional response for an AI Engineer position, including salary expectations.
5. Planned JSON handling workflows for data engineering tasks.
6. Diagnosed and provided solutions for a TypeError in Python tokenization.

Achievements: Successfully documented methods for hierarchical clustering, enhanced job application communication, and planned JSON workflow strategies.

Pending Tasks: Further exploration of JSON handling techniques and debugging strategies in data workflows.