I have a degree in medical anthropology, data science, and women & gender studies. I am passionate about using data, design, and GIS to create insights that are human-centered, equitable, and actionable, especially in education, business, community systems, and social-impact work.
Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Predictive Modeling, Data Cleaning, Feature Engineering
Description: Analyzed global air quality and public health datasets using Python to identify environmental patterns impacting population health outcomes. Conducted exploratory data analysis, cleaned and engineered features, and developed predictive models to evaluate relationships between air pollution indicators and health-related variables. Communicated findings through statistical visualizations and model performance metrics to support evidence-based environmental insights.
Tools: Microsoft Excel, Pivot Tables, Pivot Charts, Data Cleaning, Data Visualization, Business Analytics
Description: Analyzed movie industry and audience preference data using Excel to support data-driven film selection for a public entertainment initiative. Cleaned raw datasets, built pivot tables and interactive visualizations, and identified trends in genre popularity, ratings, and audience engagement. Delivered actionable recommendations through concise dashboards designed for non-technical stakeholders.
Tools: Excel, Risk Analysis, Data Governance Frameworks, Privacy Compliance Analysis, Data Visualization
Description: Developed a risk governance and data protection strategy for a hypothetical media analytics organization handling consumer entertainment data. Assessed privacy vulnerabilities, identified governance risks, and proposed mitigation strategies related to data collection, storage, access control, and regulatory compliance. Demonstrated practical understanding of data ethics, cybersecurity awareness, and business risk management.
Tools: Python, Hugging Face, Agentic AI, NLP, Prompt Engineering, UI Prototyping, Model Deployment
Description: Designed and developed an end-to-end AI literacy assistant for young and neurodiverse learners using Python and Hugging Face technologies. Built an interactive prototype capable of breaking text into manageable learning chunks, highlighting key vocabulary, and generating adaptive comprehension support. This project demonstrates applied experience in agentic AI, educational technology, and human-centered AI design.
Tools: IBM SkillsBuild, WatsonX, Agentic AI, UX Research, Healthcare Innovation, GitHub, Pitch Development, Cross-Functional Collaboration
Description: Participant in IBM’s AI Experiential Learning Lab Spring 2026 cohort, collaborating on the design of an agentic AI healthcare solution focused on improving patient support and care accessibility. Worked within a multidisciplinary team to conduct user-centered research, define product requirements, contribute to solution strategy, and develop a final product pitch supported by GitHub documentation and a team presentation video.
Team Athena Members:
• Mrinali Taskar — Team Lead
• Jania Bond — Business Consultant / UX Research
• Lorenzo Estrella — Cybersecurity & UX Research
• Seojun Kim — Architect
• Maya Vanderpool — Architect
GitHub Repository + Pitch Video Available
Get in Touch!
📧 Personal: Jania.Bond7@gmail.com
📧 Business: info@unbreakablebondconsulting.com
🔗 LinkedIn: https://www.linkedin.com/in/jania-bond-007-/