Nick D. Ellert

Dacula,GA

Summary

Strategic liaison between data science and business leaders, translating AI/ML capabilities into actionable strategies. Recognized for mentoring high-performing teams, optimizing business intelligence workflows, and driving data-driven decision-making to exceed operational KPIs.

Overview

Certification

years of professional experience

Work History

Data Analyst / Analytical Translator

Verizon Wireless

Dacula, USA

01.2010 - Current

Serve as the strategic liaison between data science teams and business leaders, translating complex AI/ML capabilities into targeted operational strategies.
Identified, evaluated, and prioritized high-value analytical use cases, maximizing business impact and ROI for telecom operations.
Validated AI/ML solutions in real-world business context, ensured model accuracy, and translated findings for non-technical stakeholders to facilitate business adoption.
Consolidated business intelligence from internal databases, public data, and field reports to build and maintain zero-error executive dashboards.
Resolve underlying code and data pipeline issues to maintain high integrity across reporting databases and real-time decision-making frameworks.
Operations & Data Analytics Leadership

Operations Supervisor / Customer Pro / CRT Pro / Technical Support Supervisor

Verizon Wireless

Dacula, USA

01.2013 - 12.2018

Led large cross-functional teams, enhancing operational excellence through performance coaching and management of performance reporting metrics.
Leadership Development: Mentored and successfully promoted 11 direct reports into management positions across the enterprise.
Top Stack Rankings: Achieved #1 Overall Supervisor Stack Ranking in Hilliard (H1 2017) and Rochester (YTD 2016).
Top Performance Metrics: Ranked #1 in My Offers (#22 Nationally), #1 in For Me (98.1%), and #1 in Reliable (96.2%) in Rochester.
Award Recognition: Awarded the Q3 Leadership Award in Rochester; recognized as a top performer in 10 out of 13 weeks during a special project assignment.
Planned and executed 75 employee-facing events in one year, fostering a strong team culture and improving overall engagement.
Key Accomplishments & Leadership Highlights:
Operations & Data Analytics Leadership

Education

Continuous Professional Development - Internal Leadership & Technical Development Programs

Verizon Wireless

07-2026

Some College (No Degree) - Mass Communication

CSUS

Sacramento, CA

Skills

Data analysis
AI/ML business applications
Statistical modeling
Data mining
Query languages expertise
Transact SQL knowledge
BI tools proficiency
Excel functions mastery
Visualization software usage
Microsoft Access utilization
Report development
Data utilization
Data governance knowledge
Process improvement

Analytical leadership
Use-case prioritization
Cross-functional collaboration
Team collaboration and support
Business acumen
Problem-solving strategies
Critical thinking abilities
Use-case prioritization
Cross-functional collaboration
Database management

Core Competencies

AI/ML Business Application, Data Modeling, Use-Case Prioritization, Cross-Functional Alignment, Insight Communication, Relational Databases, Verint, ACSS, Omni, OnePOS, WorkHub, UC Tools, Knowledge Base, AYS, Citrix, Cisco, Webex, Business Intelligence (BI) Reporting, Process Optimization, Workforce Management (WFM), Team Mentorship, Budget & Revenue Execution

Certification

Google AI
AI for App Building
AI for Data Analysis
AI for Content Creation
AI for Writing and Communicating
AI for Research and Insights
AI for Brainstorming and Planning
Google AI Essentials Specialization
Google AI Essentials
Use AI Responsibly
Discover the Art of Prompting
Maximize Productivity With AI Tools

Timeline

Operations Supervisor / Customer Pro / CRT Pro / Technical Support Supervisor

Verizon Wireless

01.2013 - 12.2018

Data Analyst / Analytical Translator

Verizon Wireless

01.2010 - Current

Continuous Professional Development - Internal Leadership & Technical Development Programs

Verizon Wireless

Some College (No Degree) - Mass Communication

CSUS