Data Analyst & Junior Data Scientist Applicant

Kelvin Juma Wafula

Nakuru, Kenya

P.O. Box *** Webuye, Kenya

Email: ***************@*****.***

Phone: +254-***-***-***

LinkedIn: www.linkedin.com/in/kelvin-juma-562561375 GitHub: https://github.com/Kevoh-jummah

Professional Summary

Results-driven Statistics graduate with strong expertise in data analysis, statistical modeling, data visualization, and business intelligence. Experienced in transforming raw data into actionable insights through hands-on internship experience at Egerton University. Skilled in Python, R, SQL, Power BI, Excel, SPSS, and STATA, with the ability to analyze complex datasets, develop dashboards, and communicate findings effectively to technical and non-technical stakeholders. Passionate about data-driven decision-making and seeking a Data Analyst or Junior Data Scientist position where analytical and problem- solving skills can contribute to organizational growth. Core Skills

Data Analysis & Programming

Python (Pandas, NumPy, Matplotlib)

R Programming

SQL

SPSS

STATA

Data Visualization & Reporting

Power BI

Tableau

Advanced Microsoft Excel

Dashboard Development

Report Writing

Statistical & Analytical Skills

Regression Analysis

Time Series Analysis

Forecasting

Hypothesis Testing

Statistical Modeling

Data Cleaning & Transformation

Professional Skills

Problem Solving

Communication Skills

Team Collaboration

Analytical Thinking

Attention to Detail

Professional Experience

Data Analyst Intern

Egerton University January 2025 – August 2025

Cleaned, processed, and analyzed large academic and survey datasets to improve research accuracy and reporting quality.

Developed Power BI dashboards to visualize enrollment and student performance trends, supporting institutional decision-making.

Conducted statistical analysis using R and SPSS to generate insights that informed academic planning and reporting.

Assisted in preparing datasets for research publications and grant reports.

Improved reporting efficiency by reducing manual data entry errors by 20% through automated Excel workflows.

Collaborated with academic and administrative teams to deliver accurate data summaries and analytical reports.

Education

Bachelor of Science in Statistics

Laikipia University, Kenya 2025

Relevant Coursework:

Regression Analysis

Time Series Analysis

Econometrics

Probability Theory

Statistical Inference

Data Mining

Secondary Education

Oldebes Secondary School – KCSE, 2020

Lwanda Secondary School – KCSE, 2015 – 2018

Primary Education

Matisi S.A Primary School – KCPE, 2005 – 2013

Projects

Student Feedback Analysis

Analyzed student satisfaction survey data using SPSS.

Identified key improvement areas that were later implemented by faculty management.

Predictive Enrollment Model

Developed a regression model in R to forecast student enrollment trends with approximately 85% accuracy.

Excel Reporting Automation

Designed a dynamic Excel reporting template that reduced reporting preparation time by 30%.

Certifications

Google Data Analytics Professional Certificate

SQL for Data Analysis – Coursera

Power BI for Business Intelligence – LinkedIn Learning References

Prof. Charles M. M’Erimba

Director, DPGS – Egerton University

Email: ********@*******.**.**

Mrs. Linet Cheraisi

Internship Supervisor & Administrator, DPGS – Egerton University Email: *********@*******.**.**

Phone: +254-***-***-***

Dr. Poti Owili

Senior Lecturer & Dean, School of Science – Laikipia University Email: *********@*****.***

Contact this candidate