Ejike J.

Key Skills

Software

No software listed

Top Subject Matter

Lead generation

sales pipeline management

and CRM-driven outreach qualification

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

Administrative DM Setter, Communi.Ai (lead qualification via DM framework; CRM-tracked pipeline conversion optimization). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Administrative DM Setting Certification, Communi.Ai (2025) and Bachelor of Science, Alex Ekwueme Federal University (2024). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Administrative DM Setter, Communi.Ai (lead qualification via DM framework; CRM-tracked pipeline conversion optimization)

TextClassification

Worked as an Administrative DM Setter to qualify leads using a consultative DM framework and evaluate lead close-readiness. Used CRM reporting to measure pipeline conversion impact from redesigned follow-up sequences and re-engagement within 48 hours. Performed ongoing outreach optimization using A/B testing to identify the highest-performing DM scripts and messaging strategies. • Qualified prospect fit and close-readiness by diagnosing needs before pitching solutions. • Re-engaged cold prospects quickly through structured follow-up sequences. • Measured outcomes in the CRM and adjusted outreach cadence to meet benchmarks. • Collaborated on messaging strategy and fed DM insights into campaign planning.

2025 - 2026

Front Desk Officer, Feel Good Ventures Ltd (customer service communications; no AI/data labeling evidenced)

TextClassification

Served as a Front Desk Officer where responsibilities were focused on customer inquiry handling and reservation workflows rather than AI/data labeling. No explicit data labeling, annotation, or AI training tasks were described in this role, so labeling-related work is not evidenced. Any text processing was limited to customer service communications, not data labeling for ML. • Managed guest inquiries and service requests at the point of contact. • Helped improve booking accuracy and reduce escalated complaints through response protocols. • Coordinated check-in and reservation processes with a streamlined system. • Maintained service quality with composure and authority during interactions.

2025 - 2025

Education

Work History