Happiness Ndanu M

I established and maintained a community for R users, coordinating monthly meetups and facilitating training sessions to enhance R programming skills among participants. I engaged with local experts to improve training quality and foster a culture of continuous learning.

As a Data Analyst, I conduct exploratory data analysis on sales data to identify trends and anomalies, utilizing statistical methods to provide insights into sales performance. I develop visualizations to communicate findings and collaborate with stakeholders to align analysis with business goals.

During my internship, I developed a dashboard using R Studio and Shiny to visualize vaccination data for healthcare workers. I also analyzed weather-related data to create a predictive model for the food processing industry.

I completed a simulation advising a client on customer targeting, where I prepared data for analysis, assessed data quality, and developed a dashboard to communicate findings from exploratory data analysis.

I conducted a comprehensive analysis of Tuberculosis data using R, focusing on prevalence and characteristics. The findings were visualized in a Shiny App to inform public health strategies.

I analyzed mental health data in Kiambu county, developing a Shiny App to present findings and recommendations. This project informed strategies for mental wellness campaigns in my non-profit organization.

Completed a certificate program focusing on data analysis using R, enhancing skills in data manipulation and visualization.

Completed a certificate program in Data Science with R, gaining proficiency in statistical analysis and machine learning techniques.

Participated in a leadership development program focusing on organizational development and effective leadership skills.

Completed training on Monitoring, Evaluation, Accountability, and Learning (MEAL) in emergencies, focusing on effective response strategies.