Tools

Data Science & AI Strategy

• Data Engineering: R (extensive use of dplyr & ggplot2), SQL, Data Wrangling
• Environments: RStudio, Quarto, Jupyter Notebooks, VS Code, GitHub
• AI Implementation: Prompt engineering, local LLM deployment (Ollama), AI-driven knowledge base development
• Technical Formats: Markdown, JSON, CSV, HTML/CSS
• Analysis: Exploratory Data Analysis (EDA), Quantitative Modeling, Factor Analysis

GTM Enablement & Learning Engineering

• Systems: Canvas LMS, Articulate Rise & Storyline, H5P, Codio
• Methodology: Backward Design, Adult Learning (Andragogy), Cognitive Load Management
• Technical Translation: Technical writing for developers, DaaS/API sales playbooks, certification design
• Curriculum: AI for Business, Data Fluency

Multimedia Production & Experience Design

• Video & Audio: DaVinci Resolve, OBS Studio, Adobe Creative Suite
• Experience Design: UI/UX principles, interaction design, interactive simulations
• Production: Technical video direction, studio/field recording, and motion graphics

Project Management & Operations

• Systems: Jira, Wrike
• Productivity: Excel & Google Suite (Colab, Sheets, Docs, Vids)
• Professional Skills: Cross-functional workflow development, document organization, time management