Analyzed Networking Opportunities in South Florida

• Day: 2026-01-31
• Time: 18:30 to 19:00
• Project: Business
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Networking, Meetup, University Of Miami, Data Science, Events

Description

Session Goal: The session aimed to explore and analyze networking opportunities through Meetup groups and events in South Florida, focusing on investors, entrepreneurs, and tech events.

Key Activities:

• Conducted search queries for Meetup groups in South Florida, particularly in Delray Beach and West Palm Beach, to identify potential networking opportunities.
• Analyzed Meetup groups in Palm Beach County, providing recommendations for groups to join and strategies for effective engagement.
• Compiled search queries for tech events and meetups scheduled for February 2026, detailing locations and themes.
• Provided event data items in JSONL format, with a note on a time mismatch for one event.
• Conducted search queries related to the University of Miami Data Science Faculty, highlighting key individuals and their contributions.
• Outlined a strategy for reaching out to professionals in applied ML at the University of Miami, focusing on collaborative relationship building.
• Developed a structured approach for capturing networking events and leads, with actionable next steps.

Achievements:

• Identified valuable Meetup groups and events for networking in South Florida.
• Provided a comprehensive strategy for engaging with professionals at the University of Miami.
• Created a structured workflow for managing networking events and leads.

Pending Tasks:

• Verify and correct the time mismatch noted in the event data items.
• Initiate contact with identified professionals from the University of Miami.
• Implement the engagement strategies for the recommended Meetup groups.

Evidence

• source_file=2026-01-31.sessions.jsonl, line_number=3, event_count=0, session_id=244d182a65a0e1a50988cd183dbabe419c16d274679383b14138f31271a15b06
• event_ids: []