Nokia

Large Language Models, AI and Data Training
Designed and executed customized AI/ML and data analytics skill development programs for internal, and academic and organizational partners.

•	Developed and delivered ana data analytics skill development program for Christel House
•	Lead Nokia Data Training program focusing on Large Language Models and Data Literacy
•	Developed and delivered (March 2024) an AI/ML data skill development program for University of Naples
•	Responsible for AI/ML critical skill development for Nokia
•	Machine Learning course development using Generative AI.  
•	Create self-paced LLM course on predictive modelling.

	
Data Science Learning and Development
       • Responsible for Nokia’s Data Science learning offers 
       • Design and Implement Data Literacy program 
       • Coach / Mentor others on their data journeys
       • Conduct Webinars on various Data Science and Data Literacy topics 
       • Create Web Based training modules / podcasts / job aids / tests 
       • Develop and deploy predictive models and interactive dashboards 
       • Develop Data Learning Paths and Achievement Programs


Business Intelligence Data Science
	• Designed Analytics Framework providing a structured repeatable process for analytics projects
	• Developed digital hierarchy to change data conversations from reporting to analytics
	• Developed Business Intelligence dashboards to manage learning deployment activities
        • Developed predictive models for learning programs (completions, demand, proficiency)

Data Science and Analytics Specialist

Alcatel Lucent

Learning and Development:  Responsible for design and deployment of Data Science learning at Nokia.  Data Science has many aspects and so the learning approach is a continuum from organization directed learning for students new to the topic, transitioning to self-directed for more advanced learners.
•	Develop learning paths and curriculums for Data Science areas of Data Collection, Engineering, Analysis, Visualization and application of Artificial Intelligence /Machine Learning /Deep Learning
•	Designed Data Science Achievement Program for Foundation and Advanced learning and development
•	Integrated 3PV content into internal curriculums to complete content gaps in machine learning, artificial intelligence, R and Python programming and Statistical Analysis
•	Developed learning recommender system based on collaborative filtering concepts
•	Performed Voice of Customer analytics to assist in design of Sales Training learning offers
•	Developed interactive Strategic Account Plan review dashboard to allow sales team review and analysis

Learning and Development Manager – Data Science

Sales and Marketing Learning and Development - Responsible for design, development and deployment of Sales and Marketing learning content.  Customized learning paths for Sales, Services, Finance, Negotiation, Analysis, and Communication competencies.  Provide learning analytics to clients to assess learning success and business impact.
Learning Solution Development and Deployment
•	Learning plans – targeted learning interventions based on audience and competency
•	Modern Learning – implemented learning and measurement techniques for modern learners
•	Learning Analytics – provide learning metrics in customizable views for business analysis
Financial Planning and Reporting:
•	Prepare annual and multi-year budgets, forecasting all expenses: Headcount, Outsourcing, and inter-department cross charging.  
•	Ongoing monitoring and tracking of expenditures.  
Business Process:
•	Lead Global Contact Center User Experience Improvement Plan
•	Supported multiple Business Process teams: Financial Management, Budgeting, and Learning Measurement.  
•	Developed tools and techniques to effectively assess and optimize processes
•	Process Flow charts, Control Charts, Six Sigma analysis

Learning and Development Manager – Sales and Marketing

Contact me on LinkedIn or steve.tadeo@gmail.com

I have a deep passion for data analytics and believe that when merged with the disruptive capabilities of large language models, they can unlock groundbreaking advancements in automated insights generation, predictive modeling, and decision support systems. This fusion holds immense potential to drive innovation and provide a significant competitive edge and change the way we live and work.

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