Peter Muiruri
About Candidate
Statistician with experience in government research, survey methodology, and predictive analytics. Proficient in R, SPSS, SQL, and Power BI, Excel with a track record of reducing data errors by 23% and cutting survey processing time by 35% through automated cleaning scripts. Skilled across the full data lifecycle, from survey design and data cleaning to statistical modelling, dashboard development, and executive reporting. Experience spans government (Nakuru County) and freelance work for NGO, agribusiness, and retail clients.
Location
Education
Thesis: "Modelling the Indicators of Life Expectancy" — identified 9 statistically significant predictors explaining 83% of global variance in life expectancy across 193 countries (WHO/World Bank data). Coursework included Regression Analysis, Time Series, Sampling Techniques, Statistical Computing (R), and Data Mining.
Work & Experience
Cleaned and validated survey responses in Excel and SPSS, reducing data errors by 23% through automated validation rules. Applied chi-square tests in SPSS revealing that employees aged 26-35 had 15% lower satisfaction (p < 0.05), prompting targeted retention interventions. Identified that 54.9% of Public Service employees felt unrecognized, leading management to implement a quarterly recognition program. Supported county development planning, demographic statistics dissemination, and budget-making processes.
Analysed retail transactions in R to identify inventory imbalances, saving a regional retail chain (4 locations) an estimated 12% waste reduction. Reduced data processing time by 35% for an 8,200-respondent market survey through custom R scripts, completing 2 weeks ahead of schedule. Secured repeat contracts from 3 clients including a health NGO and an agribusiness cooperative with 100+ farmers.
