Data Analyst with less than a year in Statistical Analysis & Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am committed to leveraging data to uncover meaningful insights, solve complex problems, and drive informed decision-making. My passion lies in applying statistical methodologies, predictive modeling, and data visualization techniques to real-world challenges across diverse industries. I strive to advance my expertise and make a measurable impact in the field of data science and analytics.
The Cooperative University of Kenya
DIPLOMA IN APPLIED STATISTICS · Applied Statistics
September 1, 2023 – December 1, 2025
Ngiya Mixed Secondary School
KCSE
January 1, 2021 – December 1, 2022
Mpesa Foundation Academy
IB Diploma in IT · IT
January 1, 2019 – July 1, 2021
Anyumba & Associates Law Firm
Personal Assistant
October 1, 2025 – June 1, 2026
India
Kenya National Bureau of Statistics
Research Assistant
October 1, 2025 – June 1, 2026
India
Class Projects in Statistics
September 1, 2023 – December 1, 2025
Roles and Responsibilities include: Cleaning, organizing, and preparing data for analysis. Applying statistical techniques like descriptive statistics, hypothesis testing, regression analysis, and ANOVA. Using statistical tools like SPSS, R, Python, and Excel for data analysis. Identifying trends, patterns, and correlations in datasets. Framing research questions or hypotheses to address specific problems. Data Visualization and Reporting: Providing feedback and support during discussions and revisions. Reporting results honestly without manipulation or bias. Setting timelines and meeting deadlines for project deliverables. Managing multiple tasks to balance data collection, analysis, and reporting.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying statistical concepts. The internship at the Kenya National Bureau of Statistics indicates an interest in public sector data analysis, which suggests a commitment to impactful work. The diverse educational background (IB Diploma in IT, Diploma in Applied Statistics) shows a broad interest in technology and data, contributing to adaptability. The candidate's stated passion for leveraging data to uncover insights and solve complex problems aligns well with a data-driven culture.
Soft Skills & Operational Fit
The candidate lists strong soft skills including excellent verbal communication, active listening, ability to accept criticism, working well under pressure, self-control, and customer service skills. These indicate a good operational fit for collaborative environments and client-facing roles. The experience as a Personal Assistant also suggests organizational and administrative capabilities.