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Happiness Ndanu

@happinessndanu

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Experienced data analyst specializing in R, Python, and actionable visualizations.

Kenya

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What I'm looking for

I seek data roles where I can build predictive models and interactive dashboards to support health and business decisions, collaborate in multidisciplinary teams, and grow technical leadership in R/Python-driven projects.

I am an experienced data analyst who leverages R and Python to turn complex datasets into actionable insights that inform decision-making across public health and business contexts.

I have built and deployed predictive models achieving 93% accuracy for healthcare research, developed interactive Shiny dashboards for vaccination monitoring and mental health insights, and performed spatial and temporal analyses to guide resource allocation.

As a co-organizer for R-Ladies Nairobi, I coordinate technical meetups and trainings, foster R skill development, and build partnerships with regional and global R experts to strengthen the data science community.

I bring strong communication, reproducible reporting (Quarto), and practical experience with data visualization and statistical analysis, and I’m committed to applying data-driven solutions to improve health outcomes and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Phoenix Analytics

Oct 2024 - Present (1 year 3 months)

Developed supervised learning models for sleep disorder prediction achieving 93% accuracy and delivered EDA and visualizations that informed pricing/stocking strategies reducing projected inventory waste by 12%. Built interactive Shiny dashboards to track social media trends and supported public-sector resource allocation via crime data analysis.

R Python R Shiny Ggplot2 Data Visualization Statistical Modeling

Current

Co-organizer

Current

R-Ladies Nairobi

Apr 2024 - Present (1 year 9 months)

Coordinated monthly technical meetups and trainings, expanded regional partnerships with R experts, and strengthened member R skills and data literacy through hands-on sessions and speaker engagement.

Event Coordination Community Building R Public Speaking Training Stakeholder Engagement

Data Analyst

Voluntary Internship-NGO

Jan 2024 - Jan 2024 (0 months)

Developed a secure Shiny dashboard to monitor vaccination of healthcare workers, visualizing daily/cumulative uptake, gender breakdowns, risk distributions, and cadre-level coverage to support program monitoring.

R Data Visualization Dashboard Development Authentication Data Cleaning Reporting

Data Analyst Volunteer

Tuberculosis Cases

Aug 2022 - Jul 2023 (11 months)

Conducted comprehensive TB analyses using R including spatial and co-infection patterns, produced visualizations and a Shiny app to inform targeted public health interventions.

R Spatial Analysis R Shiny Data Visualization Epidemiology Data Cleaning Reporting

Data Analyst Volunteer

Mental Health Cases

Aug 2021 - Jul 2023 (1 year 11 months)

Analyzed mental health data across Kiambu County, mapping prevalence by demographics and geography and delivered a Shiny app and actionable insights used in community mental wellness campaigns.

R Data Visualization Reporting