Samuel Agondeze Kisoke

Statistics graduate from KNUST with hands-on experience in statistical modeling, forecasting, and data analysis using R, Python and Excel. Recent projects: Built time-series models (ARIMA, ETS, Prophet) to forecast Ghana's GDP with 92% accuracy Developed regression models predicting regional disease infection risks Analyzed survey data from 300+ students to identify key behavioral trends Currently building portfolio projects analyzing African economic and social data Beyond technical work, I've spent 3+ years training 1000+ Mastercard Foundation Scholars on how to use the Scholars and Alumni digital platform to learn, collaborate, and lead community development. This experience has taught me how to communicate complex information to non-technical audiences and understand user needs. Seeking junior data analyst roles where I can apply statistical rigor to solve business problems and grow as an analyst. Technical Skills: Python (pandas, NumPy, matplotlib), R (ggplot2, dplyr, tidyverse), SQL, Excel, Power BI, statistical modeling, data visualization Email: samuelasteragondeze@gmail.com