Open to opportunities

Nicholas Mutua

@nicholasmutua2

Message

I am an aspiring data and financial analyst skilled in statistical analysis and financial reporting.

Kenya

Message

What I'm looking for

I am seeking internships or entry-level data/financial analyst roles where I can apply statistical and reporting skills, work on real-world projects, and contribute to data-driven decisions within collaborative, growth-oriented teams.

I am a detail-oriented and proactive applied statistics graduate-in-progress with practical attachment experience at the Makueni County Fruit Development and Marketing Authority, where I prepared financial reports, bank reconciliations, invoicing, and reviewed tender contract documentation.

I have a strong foundation in statistical analysis and programming from my BSc in Applied Statistics with Computing, with hands-on experience in R, SPSS, Python, Excel, SQL/MySQL, regression, time series forecasting, multivariate analysis, and basic machine learning techniques.

I am passionate about turning data into actionable insights, skilled in data visualization (ggplot2, matplotlib) and technical report writing, and I am seeking internships or entry-level roles where I can contribute to data-driven decision making and continue developing my analytical skills.

Experience

Work history, roles, and key accomplishments

Industrial Attachment

Makueni County Fruit Development and Marketing Authority

Jun 2024 - Present (1 year 2 months)

Gained practical experience in preparing financial reports, bank reconciliations, and handling contract documentation. Utilized Excel and other data tools for various financial tasks.

Financial Reporting Bank Reconciliation Excel Data Analysis Invoicing Accounts Payable Accounts Receivable

Education

Degrees, certifications, and relevant coursework

Moi University

Bachelors, Applied statistics with computing

Completed a comprehensive program in Applied Statistics with Computing, developing a strong foundation in statistical analysis, programming, and data-driven decision-making. Gained proficiency in tools such as R, SPSS, Python, and Excel, with hands-on experience in regression, time series forecasting, multivariate analysis, and basic machine learning techniques.