Summary
Overview
Work History
Education
Skills
Websites
References
Work Preference
Timeline
Open To Work

Darrel Moxam

Brooklyn,NY

Summary

Data Scientist and Technical Sales professional with five years of experience turning complex data into actionable business results. Skilled in Python, SQL, Machine Learning, NLP, and Generative AI, with hands-on experience building production-grade analytics and visualization solutions in Power BI, Tableau, and Watsonx. Known for bridging technical depth and business strategy—delivering insights that accelerate decision-making, strengthen governance, and drive revenue growth across diverse industries.

Overview

6
6
years of professional experience

Work History

Partner Technical Specialist – Data & AI / Storage (Territory: CDW SE)

IBM
08.2023 - 10.2024
  • Owned and managed the CDW Southeast territory, inheriting and reactivating dormant accounts while maintaining active partner relationships.
  • Served as the primary technical POC for IBM Data & AI and Storage portfolios, supporting pre-sales 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 (CSM).
  • Authored demo assets, architecture docs, and proposals that influenced purchase decisions.
  • Continuously upskilled on evolving IBM product lines and competitive landscape to stay prepared for client technical engagements.
  • Key Impact: Strengthened partner trust and exceeded quarterly coverage goals through consistent pre-sales execution, technical depth, and proactive support.

Data Scientist – Client Engineering (Data & AI Division)

IBM
01.2021 - 04.2024
  • Collaborated in cross-functional sprints to design and deploy machine learning solutions for clients in banking, energy, pharmaceutical, and agriculture sectors.
  • 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.
  • Contributed to pre-sales engagements, preparing technical demos, proofs of concept (POCs), and solution proposals for AI and analytics projects.
  • Partnered with business stakeholders to translate domain-specific problems into measurable analytical frameworks and deliver actionable insights.
  • Implemented ETL/ELT pipelines and governance layers using Watson Knowledge Catalog, ensuring data quality, lineage, and reproducibility.
  • Co-led client presentations demonstrating ROI and model interpretability, helping convert pilots into full-scale deployments.
  • Key Impact: Accelerated client time-to-insight through reusable code libraries and data pipelines, supporting multimillion-dollar solution wins in data and AI modernization.

Data Science Apprentice – IBM Data Science Elite Team

IBM
01.2019 - 12.2020
  • Supported senior data scientists in developing end-to-end analytical prototypes for enterprise clients.
  • Engineered datasets, cleaned large-scale data, and optimized model performance for early-stage proof-of-concepts.
  • Participated in internal workshops and client demos, learning and applying methodologies across NLP, forecasting, and anomaly detection.
  • Created data visualizations and feature sets used in production-grade POCs, contributing to successful client pilot outcomes.
  • Key Impact: Established a foundation in applied data science, machine learning, and analytics communication that led to direct transition into full Data Scientist role.

Education

Associate’s Degree - Computer Technology

CUNY NYC College of Technology

Skills

  • Python
  • Machine learning
  • Data visualization
  • Python programming
  • Client relationship management
  • Solution design
  • Technical presentations
  • Problem solving
  • Strategic thinking
  • Knowledgeable in [software]
  • Pandas
  • NumPy
  • Scikit-learn
  • PyTorch
  • TensorFlow
  • SQL
  • Power BI
  • Tableau
  • Cognos
  • Watsonx
  • Watson Knowledge Catalog
  • ML Forecasting
  • Classification
  • NLP
  • Generative AI
  • Data Mining
  • Statistical Analysis
  • ETL/ELT Pipelines
  • Data Quality & Governance
  • Data Validation
  • API Integration
  • Technical Demos
  • Proofs of Concept (POC)
  • Partner Enablement
  • Client Workshops
  • Salesforce CRM
  • Storytelling with Data
  • Cross-functional Collaboration
  • Strategic Communication
  • Continuous Learning
  • Deal negotiation
  • Attention to detail

Websites

References

References available upon request.

Work Preference

Job Search Status

Open to work

Work Type

Full TimeContract Work

Location Preference

Hybrid

Salary Range

$130000/yr - $200000/yr

Timeline

Partner Technical Specialist – Data & AI / Storage (Territory: CDW SE) - 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
CUNY NYC College of Technology - Associate’s Degree, Computer Technology
Darrel Moxam