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Canon Tumwet

Data Analytics

Based in Nairobi, Kenya

About

I am Canon Tumwet, I have a strong foundation in economics and statistics, I graduated in 2021 and my journey into data analytics has been fueled by a passion for uncovering actionable insights from complex datasets. Throughout my academic tenure, I immersed myself in rigorous quantitative analysis, honing skills in regression analysis, hypothesis testing, and predictive modeling. Hands-on experience with tools like SPSS, STATA, Python, R further solidified my proficiency in extracting, cleaning, and visualizing data. Motivated by the prospect of informing strategic decisions and driving organizational growth, I eagerly delve into challenging projects, leveraging my interdisciplinary background to deliver impactful solutions at the intersection of economics, statistics, and data analytics.

Skills

Projects

Experience

SEP-DEC 2022

Field Enumerator

Conduct door-to-door surveys to collect health-related data. Administer questionnaires and interviews to gather information on health behaviors and practices. Record accurate data on health indicators such as vaccination rates and disease prevalence. Collaborate with local health authorities to ensure comprehensive data collection. Data cleaning, visualization and analysis

March- July 2021

Data Analyst at KAA

Predict future passenger numbers for resource allocation. Optimize pricing strategies for services to maximize revenue. Analyze passenger data to inform marketing strategies. Evaluate airport's environmental impact. Provide analytical support for strategic decision-making.

Education

2017-2021

ECONOMICS $ STATISTICS, CHUKA UNIVERSITY, KENYA

My academic journey encompasses a robust blend of economics and statistics, providing a solid foundation for data analytics. Through coursework in econometrics, mathematical economics, and statistical methods, I acquired advanced analytical techniques. Topics such as time series analysis, multivariate statistics, and experimental design. Practical applications were central to my studies, with hands-on experience in data manipulation, hypothesis testing, and predictive modeling using tools like SPSS, EVIEWS, R, R-STUDIO and Python. This interdisciplinary approach equips me with the skills to extract actionable insights from complex datasets, making informed decisions and driving organizational success in the field of data analytics.