IBM Data Science Professional Certificate
IBM
Data science, Python, SQL, analysis, and machine learning
▣ Continuous Learning
Learning has never felt like a box to tick. I have always had the urge to understand one more thing, improve one more skill, and see what becomes possible when I know a little more than I did yesterday.
Technology keeps moving, and I want to move with it—not by chasing every trend, but by staying curious, building often, and turning what I learn into something useful for other people.
Right Now
My current focus is stronger data-science, cloud, agent, Claude Code, and AI-teaching skills. I want to understand AI well enough not only to use it, but to explain it clearly and help other people use it with confidence.
IBM
Data science, Python, SQL, analysis, and machine learning
Anthropic Academy
Claude Code workflows and AI-assisted software development
Anthropic Academy
AI agents, tool use, and practical agent capabilities
Anthropic Academy
Teaching AI clearly, responsibly, and practically
Google Cloud
Cloud-based machine-learning workflows and deployment
Selected Credentials
Jun 2026
IBM
Data ScienceJun 2026
Anthropic Academy
AI FluencyApr 2026
Advancing Women in Tech · Anthropic
Artificial IntelligenceApr 2026
Coursera
Data ScienceMar 2026
IBM
Generative AIFeb 2026
Mar 2024
Vanderbilt University
Prompt EngineeringFeb 2024
University of California, Davis
Professional SkillsWider Archive
IBM
IBM
University of London
Scrimba
IBM
Vanderbilt University
Vanderbilt University
Vanderbilt University
IBM
IBM
University of California, Davis
University of California, Davis
Coursera
Meta
University of California, Davis
University of California, Davis
University of Michigan
University of Michigan
University of Michigan
The more I learn, the more interesting the questions become.
My goal is to turn that curiosity into better products, clearer AI training, and practical ways for people to understand and use new technology.