Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Darrel Moxam

Brooklyn

Summary

Dynamic AI Solutions Consultant with a proven track record at IBM, leveraging expertise in Python and machine learning to drive impactful data-driven solutions. Adept at fostering client relationships and delivering compelling technical presentations, I excel in optimizing workflows and enhancing operational efficiency, contributing to successful project outcomes and client satisfaction.

Overview

10
10
years of professional experience

Work History

AI Solutions & Technical Consultant / Independent Technology Consultant

Independent Practice
10.2024 - Current
  • Evaluated and applied generative AI tools including ChatGPT, Claude, Gemini, Midjourney, Canva, and Make to support research, content workflows, and business planning.
  • Researched practical technology solutions for service businesses, digital products, and client support use cases.
  • Built repeatable prompt and process frameworks to improve consistency across digital projects, service concepts, and operational tasks.
  • Designed structured workflows and operating materials for early-stage service and digital business initiatives.
  • Provided freelance technical support and advisory services for device setup, troubleshooting, digital tools, and user onboarding.
  • Assisted non-technical users with practical problem-solving across software, hardware, and account-related issues, improving their confidence and efficiency.

Partner Technical Specialist - Data & AI / Storage

IBM
08.2023 - 10.2024
  • Owned and managed CDW Southeast territory, reactivating dormant accounts and strengthening partner relationships to drive engagement.
  • Functioned as the primary technical liaison for IBM Data & AI and Storage portfolios, facilitating presales discovery, solution design, and enablement initiatives.
  • Delivered on-site demos and workshops across regional CDW offices, tailoring presentations to client needs and solution value.
  • Executed technical account audits and pipeline reviews to support sellers in progressing opportunities and optimizing configurations.
  • Partnered with PDMs, Client Executives, and Solution Architects to co-develop territory strategies and accelerate sales cycles.
  • Maintained opportunity tracking and forecasting accuracy in Salesforce CRM, creating demo assets, architecture docs, and proposals that guided purchase decisions.

Data Scientist - Client Engineering (Data & AI Division)

IBM
01.2021 - 04.2024
  • Developed custom Python-based ML pipelines for forecasting, classification, RFM segmentation, and cross-correlation analysis.
  • Built and validated models using scikit-learn, TensorFlow, and PyTorch, integrating results into Power BI, Cognos, and Tableau dashboards.
  • Collaborated in cross-functional sprints to design and deploy machine learning solutions for clients in banking, energy, pharmaceutical, and agriculture sectors.
  • Implemented ETL/ELT pipelines and governance layers using Watson Knowledge Catalog, improving data quality, lineage, and reproducibility.
  • Contributed to pre-sales engagements by preparing technical demos, proofs of concept, and solution proposals for AI and analytics projects.
  • Co-led client presentations demonstrating ROI and model interpretability, helping convert pilots into full-scale deployments.

Data Science Apprentice - IBM Data Science Elite Team

IBM
01.2019 - 12.2020
  • Assisted senior data scientists in developing end-to-end analytical prototypes, enhancing solutions for enterprise clients.
  • Engineered datasets, cleaned large-scale data, and optimized model performance for early-stage proofs of concept.
  • Engaged in internal workshops and client demos, implementing methodologies in NLP, forecasting, and anomaly detection to showcase capabilities.
  • Created data visualizations and feature sets used in production-grade POCs, contributing to successful client pilot outcomes.

Department Head (Supervisor) - Garden Department

The Home Depot
09.2018 - 01.2019
  • Supervised daily operations and team in Garden Department, ensuring strong customer service, safety, and execution standards.
  • Managed inventory levels, seasonal transitions, and merchandising resets to support peak-period demand and sales performance.
  • Reviewed sales and operational metrics with store leadership and adjusted staffing and execution plans to hit department goals.
  • Coached and trained associates on product knowledge and safe equipment usage, enhancing service speed and team efficiency.

Sales Associate - Garden Department

The Home Depot
04.2016 - 08.2018
  • Advised customers on horticulture, power equipment, and outdoor living products, ensuring project needs were met with appropriate materials and tools.
  • Maintained organization and stock levels in high-volume retail environment, enhancing customer experience through efficient product availability.
  • Operated equipment safely to move inventory and assist customers with loading, ensuring timely service and smooth operations.

Education

Associate's Degree - Computer Technology

CUNY New York City College of Technology
Brooklyn, NY

Skills

  • Python
  • SQL
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Machine Learning
  • NLP
  • Generative AI
  • Data validation
  • ETL/ELT pipelines
  • API integration
  • Power BI
  • Tableau
  • Cognos
  • Watsonx
  • Watson Knowledge Catalog
  • Technical demos
  • Proofs of concept
  • Partner enablement
  • Client workshops
  • Salesforce CRM
  • Client relationship management
  • Solution design
  • Technical presentations
  • Storytelling with data
  • Machine learning
  • Data analysis
  • Technical sales
  • Problem solving
  • Team collaboration
  • Presentation skills
  • Technical support
  • Workflow optimization

Timeline

AI Solutions & Technical Consultant / Independent Technology Consultant

Independent Practice
10.2024 - Current

Partner Technical Specialist - Data & AI / Storage

IBM
08.2023 - 10.2024

Data Scientist - Client Engineering (Data & AI Division)

IBM
01.2021 - 04.2024

Data Science Apprentice - IBM Data Science Elite Team

IBM
01.2019 - 12.2020

Department Head (Supervisor) - Garden Department

The Home Depot
09.2018 - 01.2019

Sales Associate - Garden Department

The Home Depot
04.2016 - 08.2018

Associate's Degree - Computer Technology

CUNY New York City College of Technology
Darrel Moxam