Data Science
Summary
I'm a results-driven AI & Data Science Specialist with over 5 years of experience transforming complex data into actionable insights across healthcare, finance, and humanitarian sectors. At the American Cancer Society, Ive led the development of predictive models for cancer risk detection and patient navigation optimizationturning data into early diagnoses and better outcomes. My toolkit spans Python, Power BI, SPSS, and MLOps, but my real edge lies in combining technical firepower with strategic thinking to drive impact. From designing AI solutions and real-time analytics pipelines to enhancing data governance and mentoring cross-functional teams, Im passionate about leveraging data ethically and intelligently to solve real-world problems. Lets just say if it involves data, Ill probably make it smarter.
Expectations
I'm looking for a role where I can apply my expertise in AI and data science to solve meaningful, real-world problemsideally in a forward-thinking organization that values data-driven decision-making. Im particularly drawn to opportunities that involve building scalable ML solutions, contributing to ethical AI practices, and collaborating across teams to drive innovation. Bonus points if there's a culture of continuous learning and space to explore emerging technologies like generative AI and MLOps
Employment Preferences
Spoken Languages
- English - Fluent
- Swahili - Native
Expected Base Salary
**,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- AI
- Artificial Intelligence
- Data Science
- Machine Learning
- Deep Learning
- Predictive Modeling
- MLOps
- Generative AI
- Data Analytics
- Statistical Analysis
- Hypothesis Testing
- A
- B Testing
- Data Visualization
- Power BI
- Python
- Matplotlib
- Seaborn
- SQL
- SPSS
- Data Engineering
- ETL
- Cloud Data Pipelines
- Big Data
- AWS
- Azure
- Google Cloud
- Business Intelligence
- Financial Modeling
- KPI Tracking
- Impact Evaluation
- Data Strategy
- Data Governance
- Compliance
- Ethical AI
- Responsible AI
- Project Management
- JIRA
- Cross-Functional Collaboration
- Cancer Research
- Health Data
- Public Health Analytics
- Healthcare AI
- Model Deployment
- Real-Time Analytics
- Dashboard Developmen
- Risk Prediction
- Monitoring
- Evaluation
- M&E
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