cycusmurumba

Data Analyst
August 7, 1999

About Candidate

Data Analyst with a background in Actuarial Science and experience in data collection, field research,
and data analysis across public-sector, insurance, and analytics environments. Skilled in conducting
structured interviews, ensuring data quality, and translating data into meaningful insights. Experienced
in working with diverse stakeholders and managing data in real-world, field-based contexts. Strong
foundation in both quantitative and qualitative data approaches, with proficiency in Python, SQL, Excel,
and Power BI.

Location

Education

H
High School 2014-2017
Musingu Boys High School

Attained a B+ Mean Grade

U
University 2019-2022
Maseno University

Graduated with Second Class (Upper) Division Honours in Bachelor of Science in Actuarial Science, with IT

Work & Experience

J
Junior Develor Intern (Outsourced Engagement – SanlamAllianz Insurance) March 2025 - March 2026
Credwave Limited

.Supported data-driven automation and optimisation of insurance systems used by underwriting,
actuarial and claims teams.
• Worked with structured datasets related to policies, pricing inputs, and claims, ensuring data accuracy
and consistency.
• Assisted in data validation, integration, and testing to support reliable reporting and system outputs.
• Collaborated with business users to translate analytical and operational requirements into system
logic and reports.
• Supported documentation and reporting workflows used for operational monitoring and decision
making.

D
Data Enumerator September, 2023 - October, 2023
Ministry of Agriculture, Livestock and Fisheries

.Conducted structured interviews with 500+ households, collecting both quantitative and contextual
data on agricultural practices.
• Built rapport with respondents to ensure accurate, complete, and reliable responses in field settings.
• Captured GPS and transactional data, supporting integrated datasets for analysis and planning.
• Maintained strict adherence to data collection protocols, ethical standards, and quality requirements.

D
Data Analyst Apprentice August, 2022 - October, 2023
Azubi Africa

.Analyzed datasets using Python, SQL, Power BI, and Excel to support data-driven decision-making.
• Built interactive dashboards and analytical reports to communicate insights to non-technical
stakeholders.
• Applied data cleaning, transformation, and validation techniques to improve data quality and reliability.
• Collaborated in team-based projects, participating in reviews and feedback cycles.
• Utilized Git and GitHub for version control and collaborative project management.

Awards

D
DATA ANALYST PROFESSIONAL 2024

From IBM Coursera

A
AWS CLOUD PRACTITIONER 2023

From Amazon Web Services

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