As a data-savvy individual, I apply data processing and statistical programming skills to derive competitive insight from data. I have developed business reports and dashboards for the past 2 years. As a Statistician, I apply various qualitative and quantitative methods to analyse research data, interpret findings and write insightful reports. As a machine learning engineer, I build machine learning models that feed on Big data.
Tools ::: R, SQL, Power BI, Tableau, SPSS, and STATA.
I work with Data Engineers, Automation engineers and Solution architects to build Business Intelligence solutions for a range of clients. My roles include Data Analysis, R programming, Dashboard design and development.
Technology stack: Power BI, Tableau, R-studio, and SQL.
Data Science Consultant
Sep 2018 - Sep 2019 (1 year)
Designed, and built analytical reports during a Data Warehouse implementation project at Oracle Kenya for the Central bank of Kenya. Took part in requirement gathering, report test sprint and UAT (user assessment tests), where I presented the Business Intelligence reports to the business users and implemented formatting and graphical changes requested by the users. Developed ETL mapping, designing data models and coordinating data loads from on-premise client database to Oracle cloud database.
Jomo Kenyatta University of Agriculture and Technology, Kenya 2014 - 2018
Oracle Cloud Platform Data Integration Associate 2018
Completed a course in Data integration services where I acquired skills in Data migration, Relational database management, ETL development, Data quality & governance and Data modelling.
IBM Advance Data Science Professional
Deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine
learning & deep learning. Great understanding of mathematical foundations behind all machine learning & deep learning
algorithms. I can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of
different algorithms, frameworks & technologies & how they impact model performance & scalability.
Bachelors Degree in Statistics
Jomo Kenyatta University of Agriculture and Technology
A professional Statistician with credentials in Quantitative/Qualitative methods, Research methodology, Statistical programming, Regression modelling, Sampling methods, Econometrics, Time series analysis, Biostatistics, and Survival Analysis.