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nancy chinemhute

@nancychinemhute

Applied Statistics graduate skilled in data analysis, modeling, and visualization.

Zimbabwe
Message

What I'm looking for

I am seeking a data-focused role where I can apply statistical modelling and visualization to inform decisions, grow technically, and contribute to a collaborative, evidence-driven team.

I am an Applied Statistics graduate with a strong foundation in statistical modelling, data analysis and research, focused on turning data into actionable insights for organizations.

During my Honours degree I completed coursework in Regression Analysis, Probability Theory, Time Series Analysis and Econometrics, and conducted a final year dissertation assessing the impact of macroeconomic fluctuations on life insurance demand.

In industry I worked as a Statistician at Simbisa Brands where I collected, analyzed and interpreted sales data, identified trends, designed data collection processes, communicated findings to stakeholders and supported organizational strategy.

I am proficient in R, SPSS and Excel, comfortable with data cleaning, visualization and forecasting, and eager to contribute analytical expertise to a data-driven team that values evidence-based decision making.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Zimbabwe logoUZ

University of Zimbabwe

Bachelor of Science (Honours), Applied Statistics

Grade: Upper Second Class (2.1)

Bachelor of Science (Honours) in Applied Statistics with coursework in regression, time series, econometrics, and statistical computing; completed final year project on macroeconomic impacts on life insurance demand.

CS

Chemhanza High School

High School Diploma (A-Level), Advanced Level

2019 - 2020

Advanced Level studies focusing on Mathematics, Biology and Geography.

CS

Chemhanza High School

High School Certificate (O-Level), Ordinary Level

2015 - 2018

Ordinary Level studies with 10 subjects passed including Mathematics and English.

Tech stack

Software and tools used professionally

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